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.
We are seeking a dynamic and experienced Research and Development Project Manager to lead our innovative projects in battery technology. The ideal candidate will have a strong background in project management, an understanding of battery technology, and the ability to drive research initiatives from conception to commercialisation. Responsibilities: Project Planning and Execution Develop comprehensive project plans, timelines, and budgets for research and development initiatives in battery technology. Coordinate cross-functional teams including scientists, engineers, and technicians to execute project objectives effectively and efficiently. Monitor project progress, identify potential risks, and implement strategies to mitigate obstacles and ensure successful project completion. Technical Leadership Provide technical guidance and expertise in battery chemistry, materials science, and engineering principles to support project development. Collaborate with internal teams and external partners to identify emerging technologies, trends, and opportunities for innovation in battery technology. Evaluate research findings, experimental data, and technical reports to drive informed decision-making and strategic direction for R&D projects. Resource Management Allocate resources, including personnel, equipment, and materials, to support project activities and meet established milestones and deliverables. Foster a collaborative and inclusive work environment that encourages creativity, problem-solving, and continuous improvement among team members. Communicate effectively with stakeholders, including senior management, to provide updates on project status, key findings, and strategic recommendations. Regulatory Compliance and Quality Assurance Ensure compliance with regulatory standards, industry best practices, and quality assurance protocols throughout the research and development process. Collaborate with regulatory affairs teams to navigate legal and compliance requirements for new product development and commercialization. Qualifications: Bachelor's degree in Engineering, Chemistry, Materials Science, or related field; advanced degree (e.g., Master's or Ph.D.) preferred. Proven experience in project management, preferably in a research and development environment within the battery industry. In-depth knowledge of battery chemistry, electrochemical systems, and energy storage technologies. Strong leadership skills with the ability to motivate teams, foster collaboration, and drive results in a fast-paced, deadline-driven environment. Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Proficiency in project management software, data analysis tools, and Microsoft Office Suite. Location: This position is based Coventry, with occasional travel required for project meetings, conferences, and collaboration with external partners. Occasional international travel is likely. Join Us: If you are passionate about advancing battery technology and driving innovation in renewable energy solutions, we invite you to join our team and contribute to shaping the future of sustainable energy storage. Agratas is an equal opportunity employer committed to diversity and inclusion in the workplace. We offer competitive compensation packages, comprehensive benefits, and opportunities for professional growth and development. To apply, please submit your resume and cover letter detailing your relevant experience and why you are interested in this position.
Apr 18, 2024
Full time
We are seeking a dynamic and experienced Research and Development Project Manager to lead our innovative projects in battery technology. The ideal candidate will have a strong background in project management, an understanding of battery technology, and the ability to drive research initiatives from conception to commercialisation. Responsibilities: Project Planning and Execution Develop comprehensive project plans, timelines, and budgets for research and development initiatives in battery technology. Coordinate cross-functional teams including scientists, engineers, and technicians to execute project objectives effectively and efficiently. Monitor project progress, identify potential risks, and implement strategies to mitigate obstacles and ensure successful project completion. Technical Leadership Provide technical guidance and expertise in battery chemistry, materials science, and engineering principles to support project development. Collaborate with internal teams and external partners to identify emerging technologies, trends, and opportunities for innovation in battery technology. Evaluate research findings, experimental data, and technical reports to drive informed decision-making and strategic direction for R&D projects. Resource Management Allocate resources, including personnel, equipment, and materials, to support project activities and meet established milestones and deliverables. Foster a collaborative and inclusive work environment that encourages creativity, problem-solving, and continuous improvement among team members. Communicate effectively with stakeholders, including senior management, to provide updates on project status, key findings, and strategic recommendations. Regulatory Compliance and Quality Assurance Ensure compliance with regulatory standards, industry best practices, and quality assurance protocols throughout the research and development process. Collaborate with regulatory affairs teams to navigate legal and compliance requirements for new product development and commercialization. Qualifications: Bachelor's degree in Engineering, Chemistry, Materials Science, or related field; advanced degree (e.g., Master's or Ph.D.) preferred. Proven experience in project management, preferably in a research and development environment within the battery industry. In-depth knowledge of battery chemistry, electrochemical systems, and energy storage technologies. Strong leadership skills with the ability to motivate teams, foster collaboration, and drive results in a fast-paced, deadline-driven environment. Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Proficiency in project management software, data analysis tools, and Microsoft Office Suite. Location: This position is based Coventry, with occasional travel required for project meetings, conferences, and collaboration with external partners. Occasional international travel is likely. Join Us: If you are passionate about advancing battery technology and driving innovation in renewable energy solutions, we invite you to join our team and contribute to shaping the future of sustainable energy storage. Agratas is an equal opportunity employer committed to diversity and inclusion in the workplace. We offer competitive compensation packages, comprehensive benefits, and opportunities for professional growth and development. To apply, please submit your resume and cover letter detailing your relevant experience and why you are interested in this position.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for DevOps Engineer / SRE /Site reliability engineer based in London. Role : DevOps Engineer / SRE /Site reliability engineer Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 Experienced and knowledgeable AWS Cloud with knowledge of EKS, Jenkins, DevOps, Terraform, Kubernetes, Docker, Helm, Git Ops, and troubleshooting skills. Experience and skills Required: Experience in backend development or data engineering. Hands-on experience with AWS services like S3, EC2, EMR. Experience with Kubernetes, Terraform, CI/CD, Jenkins Proficiency in SQL and experience with CDAP, Spark, Kafka. Experience building scalable ETL processes and workflows. Responsibilities: Develop and enhance data pipelines, ETL processes using CDAP on AWS infrastructure. Build data integration flows to migrate large datasets into Snowflake data warehouse. Implement AWS infrastructure-as-code solutions for deployment automation. Instrument data pipelines and leverage monitoring for performance tuning and reliability. Work with data scientists to optimize data workflows and models on Databricks. Follow security best practices for access control, encryption, auditing across data platforms. Participate in architecture reviews and technology selections. Continuously monitor and improve data platforms for scalability and costs. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
Apr 18, 2024
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for DevOps Engineer / SRE /Site reliability engineer based in London. Role : DevOps Engineer / SRE /Site reliability engineer Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 Experienced and knowledgeable AWS Cloud with knowledge of EKS, Jenkins, DevOps, Terraform, Kubernetes, Docker, Helm, Git Ops, and troubleshooting skills. Experience and skills Required: Experience in backend development or data engineering. Hands-on experience with AWS services like S3, EC2, EMR. Experience with Kubernetes, Terraform, CI/CD, Jenkins Proficiency in SQL and experience with CDAP, Spark, Kafka. Experience building scalable ETL processes and workflows. Responsibilities: Develop and enhance data pipelines, ETL processes using CDAP on AWS infrastructure. Build data integration flows to migrate large datasets into Snowflake data warehouse. Implement AWS infrastructure-as-code solutions for deployment automation. Instrument data pipelines and leverage monitoring for performance tuning and reliability. Work with data scientists to optimize data workflows and models on Databricks. Follow security best practices for access control, encryption, auditing across data platforms. Participate in architecture reviews and technology selections. Continuously monitor and improve data platforms for scalability and costs. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
A forward-thinking technology company working with major global brands are entering a period of growth within their new office location in Llandysul They are currently seeking an experienced Data Engineer(with a focus on Power BI) to play a pivotal role in managing and optimising their data infrastructure. You ll leverage your technical expertise and join a supportive, open and collaborative environment with a culture of learning, who are not afraid of making mistakes and thinking outside of the box. Your role will involve working alongside Data Scientists and Analysts to drive data-driven insights for their clients to make strategic decisions. You ll collaborate with stakeholders, design/maintain data pipelines and ETL Processes, ensuring the accuracy and security of the data and identifying opportunities for automation. Experience required At least 2 years Data Engineering with proven experience in Power BI Development Knowledge in data analysis, modelling, and visualization Proficient in: Microsoft Power BI (Power Query, DAX, Power View) Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL) Skilled in at least one programming language e.g., Python or Java Cloud platforms knowledge - AWS / Azure, and familiarity with data warehousing Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home) and must have the right to work in UK as we do not offer sponsorship. Please Apply Now to be considered or contact Rachael for a confidential chat: (url removed)
Apr 18, 2024
Full time
A forward-thinking technology company working with major global brands are entering a period of growth within their new office location in Llandysul They are currently seeking an experienced Data Engineer(with a focus on Power BI) to play a pivotal role in managing and optimising their data infrastructure. You ll leverage your technical expertise and join a supportive, open and collaborative environment with a culture of learning, who are not afraid of making mistakes and thinking outside of the box. Your role will involve working alongside Data Scientists and Analysts to drive data-driven insights for their clients to make strategic decisions. You ll collaborate with stakeholders, design/maintain data pipelines and ETL Processes, ensuring the accuracy and security of the data and identifying opportunities for automation. Experience required At least 2 years Data Engineering with proven experience in Power BI Development Knowledge in data analysis, modelling, and visualization Proficient in: Microsoft Power BI (Power Query, DAX, Power View) Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL) Skilled in at least one programming language e.g., Python or Java Cloud platforms knowledge - AWS / Azure, and familiarity with data warehousing Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home) and must have the right to work in UK as we do not offer sponsorship. Please Apply Now to be considered or contact Rachael for a confidential chat: (url removed)
People Source Consulting
Cambridge, Cambridgeshire
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Apr 18, 2024
Contractor
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Senior Data Engineer - Inside IR35 Contract - London As a Senior Data Engineer, you will play a pivotal role in architecting, building, and maintaining our data infrastructure. Leveraging your expertise in data engineering you will collaborate closely with cross-functional teams to design scalable data pipelines, optimise data workflows, and integrate advanced analytics solutions. Key Responsibilities: Design, develop, and deploy robust data pipelines and ETL processes to ingest, transform, and store large volumes of structured and unstructured data from diverse sources. Implement best practices for data modelling, storage, and retrieval to ensure scalability, reliability, and performance of our data infrastructure. Collaborate with data scientists and analysts to operationalise machine learning models and enable real-time data analytics for actionable insights. Work closely with stakeholders to understand business requirements, define data engineering solutions, and drive the adoption of data-driven decision-making. Requirements: Proven experience as a Data Engineer or similar role, with a focus on designing and implementing scalable data infrastructure solutions. Strong proficiency in programming languages such as Python, or Scala Hands-on experience with cloud platforms, ideally AWS or Azure Solid understanding of tools including Spark, Hadoop and dbt Experience within FMCG, Retail or consumer facing businesses would be beneficial
Apr 18, 2024
Full time
Senior Data Engineer - Inside IR35 Contract - London As a Senior Data Engineer, you will play a pivotal role in architecting, building, and maintaining our data infrastructure. Leveraging your expertise in data engineering you will collaborate closely with cross-functional teams to design scalable data pipelines, optimise data workflows, and integrate advanced analytics solutions. Key Responsibilities: Design, develop, and deploy robust data pipelines and ETL processes to ingest, transform, and store large volumes of structured and unstructured data from diverse sources. Implement best practices for data modelling, storage, and retrieval to ensure scalability, reliability, and performance of our data infrastructure. Collaborate with data scientists and analysts to operationalise machine learning models and enable real-time data analytics for actionable insights. Work closely with stakeholders to understand business requirements, define data engineering solutions, and drive the adoption of data-driven decision-making. Requirements: Proven experience as a Data Engineer or similar role, with a focus on designing and implementing scalable data infrastructure solutions. Strong proficiency in programming languages such as Python, or Scala Hands-on experience with cloud platforms, ideally AWS or Azure Solid understanding of tools including Spark, Hadoop and dbt Experience within FMCG, Retail or consumer facing businesses would be beneficial
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The Viewing Product Team The Viewing Product team lives and breathes design excellence. We're a cross-functional team of product managers, UX researchers, UX designers, product engineers, and data scientists. Here you'll find more than a job. You'll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicentre of technology, sports, news, TV, movies and more. Our work is central to our mission to deliver a future-focused user experience across our best-in-class streaming platforms. Together, we're focused on getting customers to content they love, faster and easier. Part of the Product Design team, the Product Designer, Visual Merchandising will create best-in-class design experiences across our platforms to showcase streaming content and live events. Reporting to the Senior Manager of Product Design, Visual Merchandising, we're seeking a skilled Product Designer to elevate the visual impact and UX across our streaming platforms. The ideal candidate will have a keen eye for detail, a passion for consistency, and the ability to translate complex challenges into clear, systematic, and visually compelling solutions. What you'll do: Craft a cohesive visual language and design patterns that enhance the user experience, effectively present curated content and live events, and drive content discovery across TV, web, and mobile platforms. Elevate usability through strategic use of imagery, color, shapes, typography, and form, ensuring our experiences are premium, informative, and aligned with our brand identity. Conceptualize, design, and implement visually compelling and effective solutions that align with product requirements, brand guidelines, and strategic objectives. Develop comprehensive toolkits including design mockups, production of visual assets and components, plus comprehensive documentation to help communicate the use and implementation across platforms. Collaborate with Product, Editorial, Brand, and Research to make informed decisions and drive design directions that always put the user first. You'll build products our users love based on design insights, media trends, and robust user testing. Apply a data-driven approach to every decision you make, reducing friction and increasing engagement all while creating a consistent, scalable user experience. You'll contribute directly to success metrics around subscriber growth, retention, and engagement. Manage multiple projects and work efficiently in a deadline-driven environment, without sacrificing quality. You'll also independently lead small- to medium-sized projects from conception to launch, driving stakeholder reviews and expert execution. Consistently advocate for user needs throughout your process. Actively participate in design critiques, bringing fresh ideas to the broader team. What you'll bring: Design experience with relentlessly high standards and operational knowledge of UX and product design. You understand the value of staying current on visual and cultural trends. Minimum 3 years of experience in media, branding, advertising, or a relevant field as a UX/Product Designer, Visual Designer, or Brand Designer. Proficiency with leading design tools, including Figma, Adobe Creative Cloud, as well as other collaboration and prototyping tools. A strong portfolio demonstrating exceptional visual and UX design skills, rooted in user-centered principles. A passion for exploring new and innovative visual approaches. An uncompromised bar of quality for digital experiences and how they're represented across platforms. Experience working across a variety of design areas, including UX, branding, visual design, and product marketing. Experience working in a technical environment is a plus. A rich understanding of component-based design and design systems to contribute to a scalable, sustainable approach that enables speed to market, evolution, and optimisation. Experience working with strategic design, creative direction, and visual design systems. An understanding of the best design practices across different media, platforms, and devices. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 18, 2024
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The Viewing Product Team The Viewing Product team lives and breathes design excellence. We're a cross-functional team of product managers, UX researchers, UX designers, product engineers, and data scientists. Here you'll find more than a job. You'll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicentre of technology, sports, news, TV, movies and more. Our work is central to our mission to deliver a future-focused user experience across our best-in-class streaming platforms. Together, we're focused on getting customers to content they love, faster and easier. Part of the Product Design team, the Product Designer, Visual Merchandising will create best-in-class design experiences across our platforms to showcase streaming content and live events. Reporting to the Senior Manager of Product Design, Visual Merchandising, we're seeking a skilled Product Designer to elevate the visual impact and UX across our streaming platforms. The ideal candidate will have a keen eye for detail, a passion for consistency, and the ability to translate complex challenges into clear, systematic, and visually compelling solutions. What you'll do: Craft a cohesive visual language and design patterns that enhance the user experience, effectively present curated content and live events, and drive content discovery across TV, web, and mobile platforms. Elevate usability through strategic use of imagery, color, shapes, typography, and form, ensuring our experiences are premium, informative, and aligned with our brand identity. Conceptualize, design, and implement visually compelling and effective solutions that align with product requirements, brand guidelines, and strategic objectives. Develop comprehensive toolkits including design mockups, production of visual assets and components, plus comprehensive documentation to help communicate the use and implementation across platforms. Collaborate with Product, Editorial, Brand, and Research to make informed decisions and drive design directions that always put the user first. You'll build products our users love based on design insights, media trends, and robust user testing. Apply a data-driven approach to every decision you make, reducing friction and increasing engagement all while creating a consistent, scalable user experience. You'll contribute directly to success metrics around subscriber growth, retention, and engagement. Manage multiple projects and work efficiently in a deadline-driven environment, without sacrificing quality. You'll also independently lead small- to medium-sized projects from conception to launch, driving stakeholder reviews and expert execution. Consistently advocate for user needs throughout your process. Actively participate in design critiques, bringing fresh ideas to the broader team. What you'll bring: Design experience with relentlessly high standards and operational knowledge of UX and product design. You understand the value of staying current on visual and cultural trends. Minimum 3 years of experience in media, branding, advertising, or a relevant field as a UX/Product Designer, Visual Designer, or Brand Designer. Proficiency with leading design tools, including Figma, Adobe Creative Cloud, as well as other collaboration and prototyping tools. A strong portfolio demonstrating exceptional visual and UX design skills, rooted in user-centered principles. A passion for exploring new and innovative visual approaches. An uncompromised bar of quality for digital experiences and how they're represented across platforms. Experience working across a variety of design areas, including UX, branding, visual design, and product marketing. Experience working in a technical environment is a plus. A rich understanding of component-based design and design systems to contribute to a scalable, sustainable approach that enables speed to market, evolution, and optimisation. Experience working with strategic design, creative direction, and visual design systems. An understanding of the best design practices across different media, platforms, and devices. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalisation team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalisation you will develop the strategy and vision for maximising customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalisation across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organisation. This role will report to the VP of Personalisation & Search, and partner closely with teams across the organisation to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalised content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalisation product roadmaps and features based on this strategic vision and define prioritised feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalisation and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritisation tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 18, 2024
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Global Streaming Platform Global Streaming Platform team develop and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal, Peacock, Sky, NOW, SkyShowtime and Showmax. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport . Within Peacock, the Personalisation team delights customers by guiding them on every visit to the titles (movies, tv shows, sports) that are best for them. We achieve our mission by developing a deep understanding of user interests and preferences to deliver relevant content our customers will love The Senior Product Manager, Personalisation you will develop the strategy and vision for maximising customer engagement, retention and satisfaction by identifying the right content for each user based on their individual interests, identity, and needs. This role will work to build and iterate on a variety of machine learning and recommender models that power personalisation across the product. What you'll do : The ideal candidate will have a solid understanding of ML technologies, is disciplined in using experiments to validate hypothesis, and is a proven collaborator that can get things done across a matrixed organisation. This role will report to the VP of Personalisation & Search, and partner closely with teams across the organisation to increase engagement (e.g. watch time per user, viewing frequency, viewing diversity) across all segments of our customer base. Contribute to the vision and strategy to improve personalised content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalisation product roadmaps and features based on this strategic vision and define prioritised feature sets to address key internal and external customer needs. Partner with project management and technology teams in the US and Europe to set roadmaps and deliver high quality products. Partner with a globally distributed team of data analysts, data scientists, engineers, and editors to execute the product strategy according to the roadmap. Team up with other Product Managers to create product synergies and enable new product opportunities. Make evidenced-based decisions using consumer insights, product analytics, competitive and market analysis. Translate the complex into the simple and make compelling executive presentations that explain product vision and strategy. Build product features that can scale and adapt to global market needs and territory specific requirements. Help build a product culture and inspire the next generation of product leaders. What You'll Bring Minimum of 5 years of product strategy/management experience within the media or consumer technology space, with a preference for experience at a streaming service. Consumer-centric view with a proven track-record of developing and acting on customer insights. Understanding of modern ML/AI approaches and experience with personalisation and recommendation products. Significant experience with A/B testing, hypothesis validation, user testing, and analytics software. Experience building products across multiple platforms (iOS, tvOS, Android, Roku, Amazon) Ability and self-motivation to work effectively offsite and onsite and with global, multi-lingual teams. Experience owning feature delivery and prioritisation tradeoffs An ability to lead and inspire alignment to a shared vision and outcome through collaboration. Strong analytics skills and a hypothesis-driven approach to problem solving. Proven ability to be flexible and quickly adapt to changing priorities, with tight deadlines, balancing short term progress with long term thinking. Exceptional verbal, written and interpersonal communication skills. BA/BS degree in relevant field is highly desired. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. 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. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. 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 clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and 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 18, 2024
Full time
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. 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. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. 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 clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and 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 Behavioural Data Scientist UK - Remote £70,000-£90,000 This AI Health-tech start-up are looking for a Behavioural Data Scientist to join their R&D team. THE COMPANY Data & AI are at the core of this company and they're looking to continue growing their R&D team. This global start-up work with clients in the pharmaceutical industry to help solve their business problems by using behavioural data. THE ROLE As a Senior Data Scientist for the business, you will: Work solely with Behavioural data to understand patients as consumers and make sure the data engine is the best in class Analyse the data and build predictive models to understand patient behaviour Work with Data Engineers to put the ML models into production SKILLS AND EXPERIENCE PhD in a relevant subject Several years commercial experience as a Data Scientist working with Behavioural data Experience building predictive models in Python Experience in the healthcare/ pharma space would be beneficial SALARY AND BENEFITS £70,000-£90,000 depending on experience Bonus based on individual and company performance Benefits such as pension, healthcare, unlimited holidays Flexible working - fully remote UK based (can't sponsor) with an office in London where the team will meet once per month. You can go to the office as often as you want but no set requirements INTERVIEW PROCESS 3 stage interview process speaking with various stakeholders from the R&D team including a case study / technical assessment HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Apr 18, 2024
Full time
Senior Behavioural Data Scientist UK - Remote £70,000-£90,000 This AI Health-tech start-up are looking for a Behavioural Data Scientist to join their R&D team. THE COMPANY Data & AI are at the core of this company and they're looking to continue growing their R&D team. This global start-up work with clients in the pharmaceutical industry to help solve their business problems by using behavioural data. THE ROLE As a Senior Data Scientist for the business, you will: Work solely with Behavioural data to understand patients as consumers and make sure the data engine is the best in class Analyse the data and build predictive models to understand patient behaviour Work with Data Engineers to put the ML models into production SKILLS AND EXPERIENCE PhD in a relevant subject Several years commercial experience as a Data Scientist working with Behavioural data Experience building predictive models in Python Experience in the healthcare/ pharma space would be beneficial SALARY AND BENEFITS £70,000-£90,000 depending on experience Bonus based on individual and company performance Benefits such as pension, healthcare, unlimited holidays Flexible working - fully remote UK based (can't sponsor) with an office in London where the team will meet once per month. You can go to the office as often as you want but no set requirements INTERVIEW PROCESS 3 stage interview process speaking with various stakeholders from the R&D team including a case study / technical assessment HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Apr 18, 2024
Full time
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Are you looking to work for a company doing something truly incredible, disruptive and exciting? Now is your chance! Intelligent Growth Solutions (IGS) was founded in 2013 and has brought together decades of farming and engineering experience to create a market-leading agritech business with a vision to revolutionise indoor growing. Over the last decade, IGS has built its reputation as a leading global provider of vertical farming technology, and is looking to recruit an experienced Data Engineer to join the team. The purpose of this role is to create and productionise data-centric applications and features, data pipelines and data analysis tools in an Azure cloud environment. You will also provide real time control and information for our market leading vertical farming solution. Responsibilities: Build new data-centric applications that are tested at multiple levels and ready for our Azure / kubernetes production environment Update and add new features to existing applications Work closely with data scientists to automate and productionise machine learning and other complex solutions to business problems Collaborate and communicate with other team members including product managers, crop scientists, hardware, software and IoT engineers Use, update and contribute to IGS standards and methods for modular, agile, continuous delivery, software development Build tools to capture data from multiple sources including operational products and develop appropriate pipelines for those data, leveraging appropriate technologies Develop simple customer facing reporting tools Participate in and promote a culture of learning and improvement including code reviews and tech talks The team: Part of the wider software team, Data Applications is a cross-functional team of data scientists, data engineers, site-reliability and frontend engineers, data visualisers and product managers, who use data to add intelligence to IGS systems. Our work includes conceptualisation of difficult problems, research projects and proofs of concept, creation of machine learning models and building production-ready features and products. The person: You are a python coder with an aptitude and taste for data. You know how to decide which tools and approaches to choose. You can assist the Data Applications team to gather data in the best way and you can build the right solutions to implement ML, DL and AI models at scale. You are committed to quality, testing and the importance of good engineering practice. You can work with a team of Data Engineers, Data Scientists, Data Visualisers and the wider business to deliver enterprise grade products for both internal and external use. You are at home in a business that leads the world in a field that combines plant science, hardware engineering and software. You are all that and you are a real person too, one who remembers that we all are, displaying kindness and patience. We have a list of skills and experiences that we need you to have. Essential (you need all of these): At least 2 years experience working with Python At least 6 months experience working with SQL Some exposure to AI, ML, DL or similar analysis tools Experience in building production-ready data solutions Experience working with git or other version control systems Excellent communication skills University degree in data/computer related subject or industry equivalent Highly valued (you should have at least three of these): Experience working in Linux environments Experience building AI, ML, DL or similar analysis tools Experience with microservice architecture Design and implementation skills for unit, integration and UI testing Experience with CI/CD pipelines Experience working with graph data Experience with Azure data offerings, especially Data Grid, Data Explorer and Kusto query language Experience working with Docker and Kubernetes High coding standards with skills in code review and static code analysis Desirable (you probably have at least one of these): Experience with other software or analytical languages; C#, Angular and Typescript would be especially useful Data visualisation skills Software design and architecture experience Experience with or exposure to Computer Vision tools Presentation and documentation skills Experience with PLC control systems Experience with cloud based (Azure) SaaS user interfaces (e.g. Angular) IGS is focused on delivering innovative solutions to enable our customers to sustainably grow high-quality crops all year round. This is made possible by a highly inclusive, empowered, constructive, challenging and team-driven culture. However, we are still a business and people like you deserve to be well rewarded for your passion, energy, commitment and effort. Your base salary is accompanied by core benefits including; 7 weeks' holiday, solid pension, opt in Private Health Care, company sick pay, Income Protection, Life Assurance x 4 of basic salary, Lifestyle & Recognition benefits and personal development/training funding. Please apply via our website.
Apr 18, 2024
Full time
Are you looking to work for a company doing something truly incredible, disruptive and exciting? Now is your chance! Intelligent Growth Solutions (IGS) was founded in 2013 and has brought together decades of farming and engineering experience to create a market-leading agritech business with a vision to revolutionise indoor growing. Over the last decade, IGS has built its reputation as a leading global provider of vertical farming technology, and is looking to recruit an experienced Data Engineer to join the team. The purpose of this role is to create and productionise data-centric applications and features, data pipelines and data analysis tools in an Azure cloud environment. You will also provide real time control and information for our market leading vertical farming solution. Responsibilities: Build new data-centric applications that are tested at multiple levels and ready for our Azure / kubernetes production environment Update and add new features to existing applications Work closely with data scientists to automate and productionise machine learning and other complex solutions to business problems Collaborate and communicate with other team members including product managers, crop scientists, hardware, software and IoT engineers Use, update and contribute to IGS standards and methods for modular, agile, continuous delivery, software development Build tools to capture data from multiple sources including operational products and develop appropriate pipelines for those data, leveraging appropriate technologies Develop simple customer facing reporting tools Participate in and promote a culture of learning and improvement including code reviews and tech talks The team: Part of the wider software team, Data Applications is a cross-functional team of data scientists, data engineers, site-reliability and frontend engineers, data visualisers and product managers, who use data to add intelligence to IGS systems. Our work includes conceptualisation of difficult problems, research projects and proofs of concept, creation of machine learning models and building production-ready features and products. The person: You are a python coder with an aptitude and taste for data. You know how to decide which tools and approaches to choose. You can assist the Data Applications team to gather data in the best way and you can build the right solutions to implement ML, DL and AI models at scale. You are committed to quality, testing and the importance of good engineering practice. You can work with a team of Data Engineers, Data Scientists, Data Visualisers and the wider business to deliver enterprise grade products for both internal and external use. You are at home in a business that leads the world in a field that combines plant science, hardware engineering and software. You are all that and you are a real person too, one who remembers that we all are, displaying kindness and patience. We have a list of skills and experiences that we need you to have. Essential (you need all of these): At least 2 years experience working with Python At least 6 months experience working with SQL Some exposure to AI, ML, DL or similar analysis tools Experience in building production-ready data solutions Experience working with git or other version control systems Excellent communication skills University degree in data/computer related subject or industry equivalent Highly valued (you should have at least three of these): Experience working in Linux environments Experience building AI, ML, DL or similar analysis tools Experience with microservice architecture Design and implementation skills for unit, integration and UI testing Experience with CI/CD pipelines Experience working with graph data Experience with Azure data offerings, especially Data Grid, Data Explorer and Kusto query language Experience working with Docker and Kubernetes High coding standards with skills in code review and static code analysis Desirable (you probably have at least one of these): Experience with other software or analytical languages; C#, Angular and Typescript would be especially useful Data visualisation skills Software design and architecture experience Experience with or exposure to Computer Vision tools Presentation and documentation skills Experience with PLC control systems Experience with cloud based (Azure) SaaS user interfaces (e.g. Angular) IGS is focused on delivering innovative solutions to enable our customers to sustainably grow high-quality crops all year round. This is made possible by a highly inclusive, empowered, constructive, challenging and team-driven culture. However, we are still a business and people like you deserve to be well rewarded for your passion, energy, commitment and effort. Your base salary is accompanied by core benefits including; 7 weeks' holiday, solid pension, opt in Private Health Care, company sick pay, Income Protection, Life Assurance x 4 of basic salary, Lifestyle & Recognition benefits and personal development/training funding. Please apply via our website.
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
Apr 18, 2024
Full time
The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our industrialized workflows, you'll work with a highly dynamic team that is focused on improving how we move from ideation through to advanced candidate drugs in a way that accelerates decision-making and automates as much as possible to scale the impact that we can have. You'll have access to unbelievable scales of data: we currently run up to 2.2 million experiments run each week, our ground-breaking Phenom-1 foundation model, trained on > 1 billion in-house images, and our maps of biology and chemistry that contain > 5 trillion relationships across multiple biological and chemical contexts. In this role, you will leverage this data as you: Partner with chemists and biologists to understand their processes and the questions that they are asking at each stage of the drug discovery funnel Contribute to the development of LOWE, a natural language interface that connects wet- and dry-lab components of the Recursion OS to streamline drug-discovery tasks Develop methods, metrics, benchmarks, and models to help drive drug discovery in a standardized way. Convert exploratory analysis into production-quality functions that can be incorporated into in-house Python packages and that support at-scale generation of data packages to accelerate decisions on passing programs through internal stage gates. Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term in short-lived, agile workstreams Learn to leverage new code packages and data science techniques as needed Location: Making London your home base is ideal, however, we will consider on-site work in our Salt Lake City, Utah or Toronto, Ontario offices as well. The Team You'll Join We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the "why" of what we are trying to deliver and are resilient if the "how" of what we are doing needs to change. The Experience You'll Need 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations. Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration. Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and maintaining data products in a continuous-use production environment. Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data. How You'll be Supported You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems Receive real-time feedback on code quality and best practices from a team of peers Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science Option to attend conferences to learn more from colleagues, networks, and more to better your skillset
Data Engineer Our client based near Manchester is looking for a skilled Data Engineer to join their agile team. In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams to ensure best practices and data integrity from source to destination. Assist in integrating data between systems, including third-party platforms. Write specifications and documentation for data processes. Continuously explore new solutions, tools, and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent communication and interpersonal skills. The desire for continual improvement and passion for technology. Desired Skills: Experience in data warehousing and data modeling. Familiarity with BI and reporting principles. Basic knowledge of Linux operations and version control systems like Git. Exposure to Graph databases. You'll have the opportunity to work on diverse projects using the latest technologies while being part of a supportive and dynamic team. Our client offers competitive benefits, opportunities for professional growth, and a stimulating work environment where your ideas are valued. Interested? Please Click Apply Now! Data Engineer
Apr 18, 2024
Full time
Data Engineer Our client based near Manchester is looking for a skilled Data Engineer to join their agile team. In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams to ensure best practices and data integrity from source to destination. Assist in integrating data between systems, including third-party platforms. Write specifications and documentation for data processes. Continuously explore new solutions, tools, and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent communication and interpersonal skills. The desire for continual improvement and passion for technology. Desired Skills: Experience in data warehousing and data modeling. Familiarity with BI and reporting principles. Basic knowledge of Linux operations and version control systems like Git. Exposure to Graph databases. You'll have the opportunity to work on diverse projects using the latest technologies while being part of a supportive and dynamic team. Our client offers competitive benefits, opportunities for professional growth, and a stimulating work environment where your ideas are valued. Interested? Please Click Apply Now! Data Engineer
Data Scientist The role of a data scientist in the pricing science team is a mixture of exploration and support. The Data scientists or Pricing Science are the chief avenue of new techniques, approaches, and ways of doing things into our price modelling process. They are also responsible for the maintenance of the tools that are used by the price modelling teams. As a wider level the pricing science team are expected to contribute, along with other data scientists and engineers, to the development of our tech infrastructure. There will also be occasions where a data scientist collaborates with third party partners to develop new products outside of pricing such as risk or customer behaviour scores. Key Accountabilities & Responsibilities Develop a strong understanding of how we price Motor and Home insurance products Develop an understanding of how and where we can improve current processes & practice Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models ? Collaborate with Technical Pricing Team to identify business problems and recommend solutions? Adapt working with our current tools and developments that are mainly based on R and Python? Collaborate with our data scientists in the maintenance of the existing tools and platforms Work with other data scientists Skills, Experience and Knowledge Programing skills in Python or R (or both) and their relevant data science and statistics libraries? Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques ? Ability in communicating with the team members and written and verbal presentation skills ? Ability to engage in teamwork and to collaborate with the team to produce the best outputs Degree qualification in relevant discipline e.g., mathematics, computer science, computer engineering, statistics? (advantageous) Experience in insurance or other financial services (advantageous) Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as (url removed), Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative environment Hybrid/Flexible working model 25 days annual leave plus of Bank Holidays and the ability to buy an additional three days holiday Health Cash Plan A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
Apr 18, 2024
Full time
Data Scientist The role of a data scientist in the pricing science team is a mixture of exploration and support. The Data scientists or Pricing Science are the chief avenue of new techniques, approaches, and ways of doing things into our price modelling process. They are also responsible for the maintenance of the tools that are used by the price modelling teams. As a wider level the pricing science team are expected to contribute, along with other data scientists and engineers, to the development of our tech infrastructure. There will also be occasions where a data scientist collaborates with third party partners to develop new products outside of pricing such as risk or customer behaviour scores. Key Accountabilities & Responsibilities Develop a strong understanding of how we price Motor and Home insurance products Develop an understanding of how and where we can improve current processes & practice Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models ? Collaborate with Technical Pricing Team to identify business problems and recommend solutions? Adapt working with our current tools and developments that are mainly based on R and Python? Collaborate with our data scientists in the maintenance of the existing tools and platforms Work with other data scientists Skills, Experience and Knowledge Programing skills in Python or R (or both) and their relevant data science and statistics libraries? Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques ? Ability in communicating with the team members and written and verbal presentation skills ? Ability to engage in teamwork and to collaborate with the team to produce the best outputs Degree qualification in relevant discipline e.g., mathematics, computer science, computer engineering, statistics? (advantageous) Experience in insurance or other financial services (advantageous) Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as (url removed), Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative environment Hybrid/Flexible working model 25 days annual leave plus of Bank Holidays and the ability to buy an additional three days holiday Health Cash Plan A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
Data Engineer Our client based near Manchester is looking for a skilled Data Engineer to join their agile team. In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams to ensure best practices and data integrity from source to destination. Assist in integrating data between systems, including third-party platforms. Write specifications and documentation for data processes. Continuously explore new solutions, tools, and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent communication and interpersonal skills. The desire for continual improvement and passion for technology. Desired Skills: Experience in data warehousing and data modeling. Familiarity with BI and reporting principles. Basic knowledge of Linux operations and version control systems like Git. Exposure to Graph databases. You'll have the opportunity to work on diverse projects using the latest technologies while being part of a supportive and dynamic team. Our client offers competitive benefits, opportunities for professional growth, and a stimulating work environment where your ideas are valued. Interested? Please Click Apply Now! Data Engineer
Apr 18, 2024
Full time
Data Engineer Our client based near Manchester is looking for a skilled Data Engineer to join their agile team. In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams to ensure best practices and data integrity from source to destination. Assist in integrating data between systems, including third-party platforms. Write specifications and documentation for data processes. Continuously explore new solutions, tools, and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent communication and interpersonal skills. The desire for continual improvement and passion for technology. Desired Skills: Experience in data warehousing and data modeling. Familiarity with BI and reporting principles. Basic knowledge of Linux operations and version control systems like Git. Exposure to Graph databases. You'll have the opportunity to work on diverse projects using the latest technologies while being part of a supportive and dynamic team. Our client offers competitive benefits, opportunities for professional growth, and a stimulating work environment where your ideas are valued. Interested? Please Click Apply Now! Data Engineer
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 17, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
Apr 17, 2024
Full time
Senior Software Engineer (Python) Location: London - Hybrid (Three Days a Week in Office) Salary: Up to £70,000 + Benefits Overview: An exciting opportunity awaits a Senior Software Engineer to join a rapidly growing digital marketing agency in London. With complete autonomy over their work, the chosen candidate will be part of a team doubling in size within the next 12 months. Collaborating closely with data scientists and machine learning experts, this role promises exposure to cutting-edge projects and skill development opportunities. The Role: As a Senior Software Engineer, your responsibilities will include: Designing, developing, and maintaining software using Python. Advocating and implementing best practices throughout the software engineering life cycle. Managing cloud technologies, with a focus on Google Cloud Platform (GCP). Leading automation projects to enhance efficiency. Maintaining and developing data pipelines. Enhancing internal and external tools. Collaborating with data engineers and the wider team to build data platforms. Skills and Expertise: To be considered for this prestigious role, candidates must possess the following qualifications and attributes: A demonstrated proficiency in Python programming, coupled with a keen eye for detail and a passion for crafting elegant and efficient solutions to complex problems. Substantial commercial experience in working with cloud technologies, exemplified by a deep understanding of cloud platforms and their associated services (ideally GCP). Proven expertise in deploying and managing containerized applications using Docker within commercial environments, showcasing a knack for optimizing software delivery and deployment processes. A proactive approach to learning and contributing to front-end development, coupled with a strong commitment to staying abreast of emerging technologies, industry trends, and best practices. Salary: In this role, you will have the opportunity to earn a competitive salary of up to £70,000, complemented by a comprehensive benefits package designed to support your personal and professional well-being.
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Apr 17, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance