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 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 Personalization 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, Personalization you will develop the strategy and vision for maximizing 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 personalization 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 organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization 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 personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized 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 personalization 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 prioritization 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.
Mar 29, 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 Personalization 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, Personalization you will develop the strategy and vision for maximizing 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 personalization 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 organization. This role will report to the VP of Personalization & Search, and partner closely with teams across the organization 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 personalized content recommendations across all devices (TV, mobile, web), through a mix of new features, enhancements, and innovations. Own and drive personalization product roadmaps and features based on this strategic vision and define prioritized 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 personalization 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 prioritization 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 level AI Engineer, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Mar 29, 2024
Full time
Senior level AI Engineer, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Revolutionise FS with Cutting-Edge AI Competitive salary circa £90k with comprehensive benefits. Flexible working options and a culture of autonomy and innovation. Be at the forefront of ML, making a tangible impact. Join an innovative tech-driven company that's changing the financial services landscape through advanced machine learning and data-driven insights. As an MLOps Engineer, you'll play a pivotal role in shaping their future, leveraging your expertise to enhance their ML platform, streamline operations, and drive continuous improvement. What you'll be doing: You'll collaborate with a dynamic team of ML Engineers and Data Scientists to design, build, and maintain scalable machine learning systems. Your work will directly contribute to their mission of delivering fair, transparent, and accessible solutions. Key responsibilities include: Developing and optimising ML infrastructure to support model training and deployment, ensuring high performance, reliability, and scalability. Automating ML workflows to enable rapid experimentation and seamless production deployments. Implementing monitoring and logging for machine learning models to track performance and detect anomalies. Enhancing collaboration between ML Engineers and Data Scientists, fostering a culture of innovation and continuous learning. Experience you'll need to apply: Proven experience in MLOps or a similar role. Proficiency in cloud technologies and infrastructure as code (e.g., AWS, GCP, Azure). Solid CI/CD practices and experience with related tools (e.g., Jenkins, GitLab). Experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data processing and storage frameworks (e.g., Kafka, Spark, Hadoop). A collaborative mindset and excellent communication skills, able to work effectively across teams. What you'll get in return for your experience: A competitive salary of circa £90k, reflecting your skills and experience. Flexible & hybrid working arrangements (2 days per week in the office), supporting work-life balance. A generous benefits package, including a flexible benefits budget, private healthcare, mental wellbeing support, and a comprehensive tech scheme. An inclusive and dynamic workplace culture, with regular team and company-wide socials. What next: If you're ready to take on this exciting role and make a significant impact at a forward-thinking company, we'd love to hear from you. Apply now with an up-to-date CV
Mar 28, 2024
Full time
Revolutionise FS with Cutting-Edge AI Competitive salary circa £90k with comprehensive benefits. Flexible working options and a culture of autonomy and innovation. Be at the forefront of ML, making a tangible impact. Join an innovative tech-driven company that's changing the financial services landscape through advanced machine learning and data-driven insights. As an MLOps Engineer, you'll play a pivotal role in shaping their future, leveraging your expertise to enhance their ML platform, streamline operations, and drive continuous improvement. What you'll be doing: You'll collaborate with a dynamic team of ML Engineers and Data Scientists to design, build, and maintain scalable machine learning systems. Your work will directly contribute to their mission of delivering fair, transparent, and accessible solutions. Key responsibilities include: Developing and optimising ML infrastructure to support model training and deployment, ensuring high performance, reliability, and scalability. Automating ML workflows to enable rapid experimentation and seamless production deployments. Implementing monitoring and logging for machine learning models to track performance and detect anomalies. Enhancing collaboration between ML Engineers and Data Scientists, fostering a culture of innovation and continuous learning. Experience you'll need to apply: Proven experience in MLOps or a similar role. Proficiency in cloud technologies and infrastructure as code (e.g., AWS, GCP, Azure). Solid CI/CD practices and experience with related tools (e.g., Jenkins, GitLab). Experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes). Familiarity with data processing and storage frameworks (e.g., Kafka, Spark, Hadoop). A collaborative mindset and excellent communication skills, able to work effectively across teams. What you'll get in return for your experience: A competitive salary of circa £90k, reflecting your skills and experience. Flexible & hybrid working arrangements (2 days per week in the office), supporting work-life balance. A generous benefits package, including a flexible benefits budget, private healthcare, mental wellbeing support, and a comprehensive tech scheme. An inclusive and dynamic workplace culture, with regular team and company-wide socials. What next: If you're ready to take on this exciting role and make a significant impact at a forward-thinking company, we'd love to hear from you. Apply now with an up-to-date CV
Head of Data Engineering - Kent The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn 250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.
Mar 28, 2024
Full time
Head of Data Engineering - Kent The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn 250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
Mar 28, 2024
Full time
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best.
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships.? Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
Mar 28, 2024
Full time
About Sparta Global Embark on a transformative career journey with Sparta Global, where diversity, innovation, and passion for technology converge. We welcome individuals from all backgrounds, offering not just jobs, but dynamic careers in the tech industry. You'll work alongside enthusiastic professionals, receiving top-tier training and mentorship to hone your skills for success in both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just advancing careers; we're fostering a more diverse, equitable, and inclusive tech landscape. Join us in shaping the future of technology - where your growth is our mission, and your success, our pride. Apply now to be part of our award-winning team at Sparta Global.? About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services and Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their data needs. We're not expecting you to have the proficiencies right away - that's where our award-winning Academy comes in. We are the experts in building skills and confidence in a fun and supportive environment that will not only challenge you but also develop your specialist capabilities ready to work on our clients' projects. What we're looking for. To be successful for this role you will demonstrate a level of ability in Python or similar. You will be passionate about technology and eager to learn programme development to an advanced level. We're seeking candidates who can exemplify our values: Empathy and Diversity: Integrity, respect, and a commitment to inclusivity. Drive: A goal-oriented mindset with pride in exceeding targets. Collaboration: A team-focused approach, fostering positive relationships. Innovation: Curiosity, creativity, and openness to diverse ideas. Flexibility: Adaptability and composure in the face of change. As a national organisation with clients across the UK, we require flexibility and a willingness to relocate post-remote training. Deployment locations vary and cannot be guaranteed. We encourage applications from diverse backgrounds and experience levels. Eligibility to work in the UK by the start of employment is mandatory. Why you should apply:? Our environment is designed to nurture your talents and skills, your hard work and progress are not just appreciated - they're tangibly rewarded. We conduct performance-based reviews every six months, offering you the chance to increase your earning potential twice a year. This regular appraisal system is our way of ensuring that your efforts and achievements are consistently recognised and rewarded.? We also provide: 20 days annual leave + bank holidays. An extra day off for your birthday. Pension. Discounted gym membership. Eye care. Death in service cover. Cycle to work scheme. Season ticket loan. Employee assistance program. Yearly budget for personal development. Access to alumni and community networks. Opportunities to be brand ambassadors. Being employed by Sparta Global is an investment in your future that pays dividends along the way. We give you breadth of experience and skills, along with increasing opportunities to develop further and earn more. No two career paths look the same at Sparta. Our Recruitment Process:? Begin your journey via our supportive recruitment process. Apply online and our team will promptly review your application, contacting successful candidates within 48 hours to initiate the next steps. If you pass our initial screening, candidates will proceed to online assessments which vary depending on the opportunity you are applying for. The final stage is a competency interview, here you'll have the opportunity to impress us with your ability to communicate effectively and exhibit behavioural competencies through relevant examples. We're looking for candidates who can demonstrate a collaborative spirit and a growth mindset. Your dedicated Talent Team member will be with you every step of the way to support and answer any questions you have. You can also visit our YouTube channel to gain valuable insights and expert advice on virtual interviews, strategies to manage nerves, and tips on nonverbal communication. We look forward to receiving your application - good luck!
About The Role Team - Data Engineering - Enterprise Working Pattern - Hybrid - 2 days per week in the Vitality Bournemouth or London Offices. Full time hours. We are happy to discuss flexible working! What this role is all about: The ML Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data pipeline in an innovative company that helps people live healthier lives. The right candidate will possess a desire to consistently deliver exceptional results on set timelines. Travel will be required on a weekly basis between our different Office locations. Key Actions You will work with Data Engineering team to implement robust and trustworthy data to support high-performance kakfa streams and predictive models. Deploy and maintain machine learning models as APIs for use in our live environments. Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems You will help develop datasets and processes that facilitate data modelling, mining and production Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency and quality. You will have the chance to research opportunities for data acquisition and new uses for existing data Essential Skills needed to fulfil this role: Bachelor's degree in Information Technology/Sciences/Maths 3+ years of experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies Experience using languages / tools / databases such as SQL and NoSQL, Python. Strong experience with Google Cloud Platform, particularly GKE and Google BigQuery Work with the data engineers and data scientist conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes. You must have excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. You will have experience developing, deploying and maintaining machine learning APIs So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits when you are engaging with the programme Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society. We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy. About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out. Ready to find out if we're the right fit for you? We can't wait. Diversity & Inclusion We're committed to diversity and inclusion because it's good for our employees, for our business, and for society. To learn more please visit our Careers page. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.
Mar 28, 2024
Full time
About The Role Team - Data Engineering - Enterprise Working Pattern - Hybrid - 2 days per week in the Vitality Bournemouth or London Offices. Full time hours. We are happy to discuss flexible working! What this role is all about: The ML Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data pipeline in an innovative company that helps people live healthier lives. The right candidate will possess a desire to consistently deliver exceptional results on set timelines. Travel will be required on a weekly basis between our different Office locations. Key Actions You will work with Data Engineering team to implement robust and trustworthy data to support high-performance kakfa streams and predictive models. Deploy and maintain machine learning models as APIs for use in our live environments. Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems You will help develop datasets and processes that facilitate data modelling, mining and production Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency and quality. You will have the chance to research opportunities for data acquisition and new uses for existing data Essential Skills needed to fulfil this role: Bachelor's degree in Information Technology/Sciences/Maths 3+ years of experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies Experience using languages / tools / databases such as SQL and NoSQL, Python. Strong experience with Google Cloud Platform, particularly GKE and Google BigQuery Work with the data engineers and data scientist conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes. You must have excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. You will have experience developing, deploying and maintaining machine learning APIs So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits when you are engaging with the programme Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society. We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy. About The Company Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out. Ready to find out if we're the right fit for you? We can't wait. Diversity & Inclusion We're committed to diversity and inclusion because it's good for our employees, for our business, and for society. To learn more please visit our Careers page. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.
Up to £800 p/day inside IR35 6-month initial contract Hybrid Central London We are seeking a Senior Machine Learnining Engineer Contractor to join a cross-functional team on a 6-month initial basis. Work with cutting-edge technologies and collaborate with experts in a fast-paced, innovative FinTech. What you'll be doing: Conduct ML model training and optimisation, leveraging tools such as Sagemaker. Lead data ingestion efforts, ensuring data quality and integrity throughout the process. Facilitate experiment tracking and orchestrate pipelines for efficient data processing. Drive AB testing initiatives to validate hypotheses and optimise product performance. Empower data scientists and data engineers to take ownership of their work through mentorship and knowledge sharing. What experience you'll need to apply: Proven experience as an ML Engineer in a product-led scale-up/start-up environment. Strong proficiency in tools such as Sagemaker, Vertex AI, AzureML etc. Experience with data ingestion, ML model training and experiment tracking. Ability to thrive in a dynamic, fast-paced startup environment, dealing with ambiguity and novel data challenges. Excellent stakeholder management skills and the ability to communicate effectively across teams. What you'll get in return for your experience: Day rate up of to £800 p/day inside IR35 on a 6-month initial contract. What's next? Please apply with an up-to-date CV and I will be in touch.
Mar 28, 2024
Full time
Up to £800 p/day inside IR35 6-month initial contract Hybrid Central London We are seeking a Senior Machine Learnining Engineer Contractor to join a cross-functional team on a 6-month initial basis. Work with cutting-edge technologies and collaborate with experts in a fast-paced, innovative FinTech. What you'll be doing: Conduct ML model training and optimisation, leveraging tools such as Sagemaker. Lead data ingestion efforts, ensuring data quality and integrity throughout the process. Facilitate experiment tracking and orchestrate pipelines for efficient data processing. Drive AB testing initiatives to validate hypotheses and optimise product performance. Empower data scientists and data engineers to take ownership of their work through mentorship and knowledge sharing. What experience you'll need to apply: Proven experience as an ML Engineer in a product-led scale-up/start-up environment. Strong proficiency in tools such as Sagemaker, Vertex AI, AzureML etc. Experience with data ingestion, ML model training and experiment tracking. Ability to thrive in a dynamic, fast-paced startup environment, dealing with ambiguity and novel data challenges. Excellent stakeholder management skills and the ability to communicate effectively across teams. What you'll get in return for your experience: Day rate up of to £800 p/day inside IR35 on a 6-month initial contract. What's next? Please apply with an up-to-date CV and I will be in touch.
Job description Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Mar 28, 2024
Full time
Job description Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Mar 28, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
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
Mar 27, 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 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 Confused, 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
Mar 27, 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 Confused, 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
GCP Cloud Architect Perm London Up to 103,000pa We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. Job description We're seeking a pragmatic Technical Lead to tackle client challenges and drive successful project deliveries. Operating independently or within a team, you'll utilize agile methodologies, taking ownership of the entire process, from design to production. As a Google Cloud Premier Partner, we create cutting-edge solutions using Google Cloud and other top platforms. Your background in software or DevOps, proficiency in Java, Python, Kubernetes, and Terraform, and expertise in cloud technologies are key. Qualifications Agile development experience Google Cloud proficiency CI/CD tools and JIRA expertise Microservices architecture and serverless implementation knowledge Familiarity with machine learning tools Common Technology Components: Google Cloud (App Engine, Cloud Functions, Kubernetes Engine, Cloud Spanner, etc.) Architecture (Microservices patterns, Event-driven architectures) Languages/Frameworks (Java, JavaScript, Python)
Mar 27, 2024
Full time
GCP Cloud Architect Perm London Up to 103,000pa We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. Job description We're seeking a pragmatic Technical Lead to tackle client challenges and drive successful project deliveries. Operating independently or within a team, you'll utilize agile methodologies, taking ownership of the entire process, from design to production. As a Google Cloud Premier Partner, we create cutting-edge solutions using Google Cloud and other top platforms. Your background in software or DevOps, proficiency in Java, Python, Kubernetes, and Terraform, and expertise in cloud technologies are key. Qualifications Agile development experience Google Cloud proficiency CI/CD tools and JIRA expertise Microservices architecture and serverless implementation knowledge Familiarity with machine learning tools Common Technology Components: Google Cloud (App Engine, Cloud Functions, Kubernetes Engine, Cloud Spanner, etc.) Architecture (Microservices patterns, Event-driven architectures) Languages/Frameworks (Java, JavaScript, Python)
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
Mar 27, 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
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Mar 27, 2024
Full time
Our mission: We are on a mission toaddress climate change by decarbonising commercial buildings Your impact: At Elyos Energy, we live and breathe data.As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture.You will be part ofour tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality,optimise energy consumption patterns and contribute to a more sustainable energy system.We love passionate people that want to help us get a step closer to a net-zero world. What will you do? Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models. Develop and train supervised and unsupervised predictionmodels for understanding energy consumption patterns, participating indemand response opportunities, and forecasting energy market trends Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency. Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions. Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios. Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product's capabilities and educate technical and non-technical stakeholders. Required experience : Master's or PhD in Math, Statistics or relevant fieldwith a strong focus on machine learning,statistical analysis and data manipulation Proven experience in developing, maintaining and deploying predictive and forecastingmachine learning models Strong background in data clustering (correlation and hierarchical algorithms) Expert in SQL and Python, DBT andespecially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns Experience with Postgresql, Google Cloud Platformand BigQuery Excellent problem-solving skills and the ability to think creatively to develop innovative solutions. Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1. Ability to manage and prioritise multiple projects and change direction quickly Ability to gather strategic insights beyond the paradigm of statistical significance testing Desirable experience Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or Airbyte 5+ years of experience as a data scientist,leading a small team Expertise in Python (incl asyncio) as a software engineer Have previous experience in early stage startups Experience with GCP, Kubernetes and PubSub Benefits Competitive salary (£80,000 - £100,000) plus equity 25 days annual leave + bank holidays Private healthcare Standard pension contributions Annual learning & development budget This role is onsite and based in London, United Kingdom . Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship. Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations
Head of Data Engineering - Kent The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.
Mar 26, 2024
Full time
Head of Data Engineering - Kent The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy.
Data Architect Hybrid Contract Role (12 Months) We have partnered with a leading ecommerce business who are looking for a Data Architect, responsible for the design and implementation of the enterprise-wide data architecture strategy. This is an initial 12 month contract Responsibilities of the Data Architect. Develop and implement a comprehensive data architecture strategy aligned with business goals and data-driven initiatives. Define the architecture principles, standards, and best practices for data collection, integration, storage, and utilisation. Be the SME on data infrastructure, working to understand business roadmaps and pro-actively working with all departments of the business to facilitate data changes Design and maintain data integration processes to enable seamless data flow across systems, including e-Commerce, point-of-sale (POS), CRM, supply chain, and marketing platforms. Create data management strategies, including data cataloguing, data lineage, and metadata management, to enhance data discoverability and usability. Collaboration and Communication: Collaborate with IT teams, data engineers, and data scientists to understand data requirements and ensure data architecture supports analytical and operational needs. Communicate data architecture principles and standards to stakeholders across the organization, fostering a shared understanding of data's importance. Monitor and optimize data architecture performance to ensure data is accessible, scalable, and meets the evolving needs of the business. Troubleshoot architecture issues and implement performance improvements in collaboration with the technical team. Skills required for the Data Architect. Strong knowledge of data modelling, data integration, and data management principles and techniques. Experience in data architecture, preferably within the retail or e-commerce industry. Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms. Knowledge of platforms such as Azure Machine Learning, Amazon SageMaker, Databricks, and DataRobot Proficiency in data architecture and modelling tools such as Erwin and IBM Data Architect Familiarity with data warehousing technologies, ETL processes, and data integration tools and supporting technologies such as Azure Data Factory, Data Lake, and other products. Understanding of data privacy and data protection regulations, including GDPR. Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Mar 26, 2024
Full time
Data Architect Hybrid Contract Role (12 Months) We have partnered with a leading ecommerce business who are looking for a Data Architect, responsible for the design and implementation of the enterprise-wide data architecture strategy. This is an initial 12 month contract Responsibilities of the Data Architect. Develop and implement a comprehensive data architecture strategy aligned with business goals and data-driven initiatives. Define the architecture principles, standards, and best practices for data collection, integration, storage, and utilisation. Be the SME on data infrastructure, working to understand business roadmaps and pro-actively working with all departments of the business to facilitate data changes Design and maintain data integration processes to enable seamless data flow across systems, including e-Commerce, point-of-sale (POS), CRM, supply chain, and marketing platforms. Create data management strategies, including data cataloguing, data lineage, and metadata management, to enhance data discoverability and usability. Collaboration and Communication: Collaborate with IT teams, data engineers, and data scientists to understand data requirements and ensure data architecture supports analytical and operational needs. Communicate data architecture principles and standards to stakeholders across the organization, fostering a shared understanding of data's importance. Monitor and optimize data architecture performance to ensure data is accessible, scalable, and meets the evolving needs of the business. Troubleshoot architecture issues and implement performance improvements in collaboration with the technical team. Skills required for the Data Architect. Strong knowledge of data modelling, data integration, and data management principles and techniques. Experience in data architecture, preferably within the retail or e-commerce industry. Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms. Knowledge of platforms such as Azure Machine Learning, Amazon SageMaker, Databricks, and DataRobot Proficiency in data architecture and modelling tools such as Erwin and IBM Data Architect Familiarity with data warehousing technologies, ETL processes, and data integration tools and supporting technologies such as Azure Data Factory, Data Lake, and other products. Understanding of data privacy and data protection regulations, including GDPR. Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates