Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Apr 16, 2024
Full time
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
Apr 16, 2024
Full time
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 16, 2024
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker.
Apr 16, 2024
Full time
We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker.
About the job At Hopper, we're on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world's fastest-growing mobile first travel marketplace - one that enables our customers to save money and travel better. The vision of the payments team is to provide a magical and frictionless payment experience to our customers. We will do this by supporting all the major payment methods ('unlocking choice'), optimizing our payment stack ('frictionless payments'), and unifying and powering all payments flows at Hopper (Flights, Hotels, Homes, Rental Cars, Attractions & more) as well as our Hopper Cloud offering (Whitelabel solution). Our long term vision is to remove any financial barriers to travel and truly make travel accessible to everyone. It's cheaper, better and easier to purchase travel with Hopper! In this role, you'll be working alongside a team of talented engineers and partner with product, design, and data science to prioritize, estimate, and implement new product features in an Agile environment. What would your day-to-day look like: Ship your first code in days, iterating on features in an Agile manner leveraging Scala and technologies like Spanner, pub/sub, GCP Big Query Build robust and performant infrastructure that supports millions of dollars of revenue Make important architectural decisions about core backend systems Coach and mentor developers at various stages of their career. Collaborate with a diverse group of people, giving and receiving feedback for growth Execute on big opportunities, helping Hopper rise to the top of the travel industry An ideal candidate has: 8+ years experience thriving in backend engineering positions and delivering user experiences at scale A strong understanding of distributed systems and how architectural decisions affect performance and maintainability A strong understanding of site reliability and operations A passionate focus on quality, writing testable code that performs and scales Close collaboration with software engineers (backend and mobile), product managers, data scientists, and designers to deliver rapid value to end-users Nice to have: Backend experience with Scala, Google Cloud, Kubernetes Experience developing B2B products with millions of MAU Experience in the Payments domain Perks of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity Monthly cash allowance to cover gym membership (100€) or telework (50€) Hopper covers the cost of employee premiums for private medical and dental coverage via Cigna. Coverage includes: primary medical assistance, dental care, nursing care, specialties, hospitalisation, maternity, preventative medicine and ambulatory services, and is available to extend to dependents. Hopper also offers private life and accident coverage via Surne. Unlimited PTO Puzl coworking All Access Pass OR Work-from-home stipend Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact More about Hopper At Hopper, we are on a mission to become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions - helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers - with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a global travel agency and travel fintech provider that powers some of the world's largest brands. Through HTS , our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more. Here are just a few stats that demonstrate the company's recent growth: Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships. Our fintech products - including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance - have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper's fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline. Featured in Apple's Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company's Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world's fastest-growing mobile-first travel marketplace. Come take off with us!
Apr 16, 2024
Full time
About the job At Hopper, we're on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world's fastest-growing mobile first travel marketplace - one that enables our customers to save money and travel better. The vision of the payments team is to provide a magical and frictionless payment experience to our customers. We will do this by supporting all the major payment methods ('unlocking choice'), optimizing our payment stack ('frictionless payments'), and unifying and powering all payments flows at Hopper (Flights, Hotels, Homes, Rental Cars, Attractions & more) as well as our Hopper Cloud offering (Whitelabel solution). Our long term vision is to remove any financial barriers to travel and truly make travel accessible to everyone. It's cheaper, better and easier to purchase travel with Hopper! In this role, you'll be working alongside a team of talented engineers and partner with product, design, and data science to prioritize, estimate, and implement new product features in an Agile environment. What would your day-to-day look like: Ship your first code in days, iterating on features in an Agile manner leveraging Scala and technologies like Spanner, pub/sub, GCP Big Query Build robust and performant infrastructure that supports millions of dollars of revenue Make important architectural decisions about core backend systems Coach and mentor developers at various stages of their career. Collaborate with a diverse group of people, giving and receiving feedback for growth Execute on big opportunities, helping Hopper rise to the top of the travel industry An ideal candidate has: 8+ years experience thriving in backend engineering positions and delivering user experiences at scale A strong understanding of distributed systems and how architectural decisions affect performance and maintainability A strong understanding of site reliability and operations A passionate focus on quality, writing testable code that performs and scales Close collaboration with software engineers (backend and mobile), product managers, data scientists, and designers to deliver rapid value to end-users Nice to have: Backend experience with Scala, Google Cloud, Kubernetes Experience developing B2B products with millions of MAU Experience in the Payments domain Perks of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity Monthly cash allowance to cover gym membership (100€) or telework (50€) Hopper covers the cost of employee premiums for private medical and dental coverage via Cigna. Coverage includes: primary medical assistance, dental care, nursing care, specialties, hospitalisation, maternity, preventative medicine and ambulatory services, and is available to extend to dependents. Hopper also offers private life and accident coverage via Surne. Unlimited PTO Puzl coworking All Access Pass OR Work-from-home stipend Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact More about Hopper At Hopper, we are on a mission to become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions - helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers - with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a global travel agency and travel fintech provider that powers some of the world's largest brands. Through HTS , our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more. Here are just a few stats that demonstrate the company's recent growth: Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships. Our fintech products - including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance - have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper's fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline. Featured in Apple's Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company's Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world's fastest-growing mobile-first travel marketplace. Come take off with us!
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 16, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 16, 2024
Full time
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
Apr 16, 2024
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Apr 16, 2024
Full time
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Senior Data Scientist - NLP page is loaded Senior Data Scientist - NLP Apply locations London, England Cork, Ireland time type Full time posted on Posted 6 Days Ago job requisition id R10356 It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team. The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. Your day-to-day Wrangle and draw insights from massive amounts of unstructured textual data (email datasets) using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply state-of-the-art machine learning techniques like encoder-decoder transformers, LLMs, Graph Neural Networks to solve some of the most challenging problems Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns Collaborate, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Essential Experience leading multiple highly impactful machine learning projects with proven results Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus) Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX) A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Excellent listening skills; open to input from other team members and departments Optional Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint was honored with 9 Best Places to Work Awards in 2023 by workplace culture leader, Comparably. To view additional awards, visit People-Centric Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Apr 16, 2024
Full time
Senior Data Scientist - NLP page is loaded Senior Data Scientist - NLP Apply locations London, England Cork, Ireland time type Full time posted on Posted 6 Days Ago job requisition id R10356 It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team. The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. Your day-to-day Wrangle and draw insights from massive amounts of unstructured textual data (email datasets) using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply state-of-the-art machine learning techniques like encoder-decoder transformers, LLMs, Graph Neural Networks to solve some of the most challenging problems Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns Collaborate, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Essential Experience leading multiple highly impactful machine learning projects with proven results Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus) Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX) A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Excellent listening skills; open to input from other team members and departments Optional Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint was honored with 9 Best Places to Work Awards in 2023 by workplace culture leader, Comparably. To view additional awards, visit People-Centric Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Machine Learning Engineer II Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Growth Marketing Manager, SEO and Data Insights At Expedia Group, we're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities. If you require an accommodation or adjustment for any part of the application or hiring process, please let us know by completing our Accommodation Request form.
Apr 16, 2024
Full time
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Machine Learning Engineer II Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Growth Marketing Manager, SEO and Data Insights At Expedia Group, we're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities. If you require an accommodation or adjustment for any part of the application or hiring process, please let us know by completing our Accommodation Request form.
We are looking for an experienced software engineer with a focus on hardware integrations to join our team. The ideal candidate will play a crucial role in developing and maintaining software solutions that interface seamlessly with ORCA Computing's photonic quantum processor; from user-facing interfaces all the way down to hardware instructions. This is an exciting opportunity to work at the cutting edge of computing, alongside world-class scientists and engineers, in a dynamic and rapidly growing startup. What you'll be doing: Developing the software stack for ORCA Computing's photonic quantum processor, from user-facing interfaces all the way down to hardware instructions. Collaborating with the hardware team to integrate new elements of hardware into the software stack. Collaborating with third parties to help integrate our product into their software systems. Conducting thorough software testing and debugging in line with ORCA's quality processes Keeping documentation up to date. Working within the software engineering function to develop and maintain development processes. What you'll be bringing to the team: Willingness to work in a dynamic start-up environment. Able to work to product launch deadlines. Expert knowledge of python. Experience interfacing with various types of hardware (such as scientific instruments or components for robotics, electronics or photonics). Expert knowledge of software engineering tools (git, github actions, IDEs, etc.) and processes (testing, CI/CD, etc.). Preferred: Interest in quantum computing and/or machine learning About ORCA Computing ORCA Computing develops full-stack photonic quantum computers with the aim of unlocking new fields of applications and helping transform industries.By combining proprietary technology with off-the-shelf telecom components, we provide a unique approach to address use cases such as machine learning and optimisation. With a number of government and enterprise customers around the world, we are actively deploying and applying our technologies to real world challenges. ORCA Computing is also the project lead in the multi-year Innovate UK Quantum Data Centre of the Future project which is bringing together experts in quantum technologies, cybersecurity, data centres and telecommunications to develop solutions for a quantum future. ORCA Computing's multidisciplinary team of quantum scientists, engineers and mathematicians are developing hardware and architectures to completely change the face of high-performance computing and networking, from near-term quantum devices and applications to universal, fault-tolerant quantum computers. We are growing and providing the opportunity to work at the leading edge of quantum alongside world renowned experts, expanding your skillset and forging wonderful relationships along the way.Our teams enjoy a collaborative, friendly, and dynamic environment with the goal of bringing the best out of each other to achieve the very heights of what is possible. We offer workplace flexibility with generous benefits including a pension plan, holiday allowance and equity. There are significant opportunities for learning, growth, and exciting new responsibilities. To apply, please send a cover letter and a copy of your CV/resume (including publication record) to: including the job title in the subject heading. ORCA does not discriminate on the basis of race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Apr 16, 2024
Full time
We are looking for an experienced software engineer with a focus on hardware integrations to join our team. The ideal candidate will play a crucial role in developing and maintaining software solutions that interface seamlessly with ORCA Computing's photonic quantum processor; from user-facing interfaces all the way down to hardware instructions. This is an exciting opportunity to work at the cutting edge of computing, alongside world-class scientists and engineers, in a dynamic and rapidly growing startup. What you'll be doing: Developing the software stack for ORCA Computing's photonic quantum processor, from user-facing interfaces all the way down to hardware instructions. Collaborating with the hardware team to integrate new elements of hardware into the software stack. Collaborating with third parties to help integrate our product into their software systems. Conducting thorough software testing and debugging in line with ORCA's quality processes Keeping documentation up to date. Working within the software engineering function to develop and maintain development processes. What you'll be bringing to the team: Willingness to work in a dynamic start-up environment. Able to work to product launch deadlines. Expert knowledge of python. Experience interfacing with various types of hardware (such as scientific instruments or components for robotics, electronics or photonics). Expert knowledge of software engineering tools (git, github actions, IDEs, etc.) and processes (testing, CI/CD, etc.). Preferred: Interest in quantum computing and/or machine learning About ORCA Computing ORCA Computing develops full-stack photonic quantum computers with the aim of unlocking new fields of applications and helping transform industries.By combining proprietary technology with off-the-shelf telecom components, we provide a unique approach to address use cases such as machine learning and optimisation. With a number of government and enterprise customers around the world, we are actively deploying and applying our technologies to real world challenges. ORCA Computing is also the project lead in the multi-year Innovate UK Quantum Data Centre of the Future project which is bringing together experts in quantum technologies, cybersecurity, data centres and telecommunications to develop solutions for a quantum future. ORCA Computing's multidisciplinary team of quantum scientists, engineers and mathematicians are developing hardware and architectures to completely change the face of high-performance computing and networking, from near-term quantum devices and applications to universal, fault-tolerant quantum computers. We are growing and providing the opportunity to work at the leading edge of quantum alongside world renowned experts, expanding your skillset and forging wonderful relationships along the way.Our teams enjoy a collaborative, friendly, and dynamic environment with the goal of bringing the best out of each other to achieve the very heights of what is possible. We offer workplace flexibility with generous benefits including a pension plan, holiday allowance and equity. There are significant opportunities for learning, growth, and exciting new responsibilities. To apply, please send a cover letter and a copy of your CV/resume (including publication record) to: including the job title in the subject heading. ORCA does not discriminate on the basis of race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Apr 15, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Manchester for 12 months starting in Summer 2024. The Role Overview: As a Data Science Intern, at Innovative Technology you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Whether you're researching, developing or implementing machine learning algorithms, you'll have an opportunity to showcase your data science skills while being responsible for progress of your own project and its development. Here at Innovative Technology we give our placements the ability to demonstrate their understanding of their specialist subject while getting invaluable industry experience. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities: In a fast-paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets, supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real acceptance and counterfeit rejection. Our Data Scientists have exposure to all elements of data science and their role includes - but is not limited to - the following: Research Investigating and resolving issues through data diagnostics Assisting technical leads in providing twice yearly updates to the validation algorithm Planning and implementing improvements to the validation algorithms, including (but not limited to): image processing and feature extraction 1D signals classification image classification data management within the processing pipeline. As our intern, you would be given a project within one or more of those areas and, with the assistance of more senior members of the team, you would make it a reality. You would receive support and training on the technical aspects of the project, but you would have the opportunity to research and decide on the best ways to pursue it. Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Your Skills & and Experience: A superficial understanding of machine learning techniques and algorithms. Some experience of programming in Python, or similar associated tools. An excellent communicator who's analytically minded with a practical approach to solving problems. Your Package & Perks: A competitive salary Flexible working hours Paid breaks, with free hot premium drinks 32 days holiday (including public holidays) and the opportunity to earn up to an extra 13 days holiday each year Enhanced Pension Contribution A choice of healthcare schemes Dental Scheme Life Insurance Onsite electric car charging points and staff car workshop Free secure parking Free onsite modern gym Educational Sponsorship Cycle to Work Scheme Informal dress code We're Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world's leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we've seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You'll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What's next? If you're looking to develop as a Data Scientist throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services.
Apr 15, 2024
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Manchester for 12 months starting in Summer 2024. The Role Overview: As a Data Science Intern, at Innovative Technology you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Whether you're researching, developing or implementing machine learning algorithms, you'll have an opportunity to showcase your data science skills while being responsible for progress of your own project and its development. Here at Innovative Technology we give our placements the ability to demonstrate their understanding of their specialist subject while getting invaluable industry experience. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities: In a fast-paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets, supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real acceptance and counterfeit rejection. Our Data Scientists have exposure to all elements of data science and their role includes - but is not limited to - the following: Research Investigating and resolving issues through data diagnostics Assisting technical leads in providing twice yearly updates to the validation algorithm Planning and implementing improvements to the validation algorithms, including (but not limited to): image processing and feature extraction 1D signals classification image classification data management within the processing pipeline. As our intern, you would be given a project within one or more of those areas and, with the assistance of more senior members of the team, you would make it a reality. You would receive support and training on the technical aspects of the project, but you would have the opportunity to research and decide on the best ways to pursue it. Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Your Skills & and Experience: A superficial understanding of machine learning techniques and algorithms. Some experience of programming in Python, or similar associated tools. An excellent communicator who's analytically minded with a practical approach to solving problems. Your Package & Perks: A competitive salary Flexible working hours Paid breaks, with free hot premium drinks 32 days holiday (including public holidays) and the opportunity to earn up to an extra 13 days holiday each year Enhanced Pension Contribution A choice of healthcare schemes Dental Scheme Life Insurance Onsite electric car charging points and staff car workshop Free secure parking Free onsite modern gym Educational Sponsorship Cycle to Work Scheme Informal dress code We're Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 150 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world's leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we've seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You'll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What's next? If you're looking to develop as a Data Scientist throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services.
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Apr 15, 2024
Full time
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Senior Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Relevant experience in building large scale machine learning or deep learning models - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities As an ML Data Scientist, you will Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We are open to hiring candidates to work out of one of the following locations: London, GBR PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) - PhD degree in Computer Science, or related technical, math, or scientific field - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models - Proven knowledge of AWS platform and tools - Hands-on experience of building ML solutions on AWS - High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 4, 2024 (Updated 11 days ago) Posted: April 3, 2024 (Updated 11 days ago) Posted: March 21, 2024 (Updated 23 days ago) Posted: December 5, 2023 (Updated 27 days ago) Posted: March 7, 2024 (Updated about 1 month ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 15, 2024
Full time
Senior Data Scientist, Generative AI Innovation Center Job ID: AWS EMEA SARL (UK Branch) - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Relevant experience in building large scale machine learning or deep learning models - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities As an ML Data Scientist, you will Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We are open to hiring candidates to work out of one of the following locations: London, GBR PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) - PhD degree in Computer Science, or related technical, math, or scientific field - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models - Proven knowledge of AWS platform and tools - Hands-on experience of building ML solutions on AWS - High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 4, 2024 (Updated 11 days ago) Posted: April 3, 2024 (Updated 11 days ago) Posted: March 21, 2024 (Updated 23 days ago) Posted: December 5, 2023 (Updated 27 days ago) Posted: March 7, 2024 (Updated about 1 month ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
Apr 15, 2024
Full time
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
Senior Data Developer Ashford/Kent - role requires 4 days on site The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will have Full Stack Development experience, Angular, .NET and Cosmos VB experience. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency.Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management.Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them.Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements.Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements.Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth.Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage.Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred.10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role.Proven track record of developing and implementing data strategies that drive business growth and innovation.Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices.Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling).Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset.Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.
Apr 15, 2024
Full time
Senior Data Developer Ashford/Kent - role requires 4 days on site The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will have Full Stack Development experience, Angular, .NET and Cosmos VB experience. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency.Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management.Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them.Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements.Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements.Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth.Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage.Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred.10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role.Proven track record of developing and implementing data strategies that drive business growth and innovation.Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices.Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling).Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset.Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.