76 to 100 of 7,966 Data Science Jobs

approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and … warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising … clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes More ❯

approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and … warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising … clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes More ❯

Join to apply for the Senior Data Engineer (Databricks) role at DATAPAO Get AI-powered advice on this job and more exclusive features. This range is provided by DATAPAO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from DATAPAO At DATAPAO … data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and Data Science consulting company, recognized for our innovation and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance on the Financial Times FT1000 list . We … are currently looking for a Senior Data Engineer to join us remotely in the UK. We plan to set up a hub in the UK in the following 12-18 months to enable our GTM strategy, and this would be our first hire in the region. You will work with our EMEA and US customers to help them solve More ❯

from picking and replenishment to sorting and pack-out-Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. Are you a skilled Python Data Engineer with a passion for building scalable, production-level systems and an interest in machine learning? We want to hear from you! At Locus Robotics, we're evolving our … data infrastructure to support advanced machine learning capabilities and real-time analytics. As a key member of our team, you'll help migrate our existing codebase into machine learning territory, drive innovation across multiple deployment sites, and collaborate closely with our optimization and engineering teams. You'll develop robust Python code, analyze system performance, and contribute to deployment pipelines … authorized to work in one of these countries without the need for work sponsorship. Responsibilities: Develop and maintain Python-based systems deployed across remote platforms. Contribute to and improve data pipelines, ensuring reliable and efficient system updates. Build and enhance features for real-time data analysis and system monitoring to ensure high uptime and efficiency. Collaborate with data More ❯

Managing Partners, senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas … trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference … state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers More ❯

Managing Partners, senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas … trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference … state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers More ❯

Managing Partners, senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas … trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference … state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers More ❯

Join to apply for the Azure data Engineer role at IBM 3 days ago Be among the first 25 applicants Join to apply for the Azure data Engineer role at IBM Get AI-powered advice on this job and more exclusive features. Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres … Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Your Role And Responsibilities A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time … data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics More ❯

a strong background in cloud technologies and infrastructure, excellent problem-solving skills, and a passion for staying up to date with the latest advancements in cloud computing. Having sound data science, programming and analytics skills are desirable to support data-driven decision-making and understand the client journey. The ideal candidate will be an engineer at heart … as such Azure hands-on experience is essential. Job Responsibilities Design, size, cost, deploy, and maintain cloud infrastructure solutions based on business and technical customer requirements. Collaborate with development & data science teams to provide guidance on cloud architecture best practices, ensuring scalability, reliability, and security. Implement and manage cloud services, including compute, storage, networking, and databases. Monitor and … optimise cloud infrastructure performance, addressing issues related to scalability, availability, and efficiency. Ensure data integrity and security by implementing appropriate access controls, encryption, and backup solutions. Automate infrastructure, provisioning, configuration, and deployment processes using infrastructure-as-code (IaC) tools. Conduct regular security assessments and implement necessary measures to protect cloud-based systems and data. Collaborate with the ISx4 team More ❯

analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs. Key job responsibilities - Perform deep data analysis, document findings and insights, and communicate to business stakeholders. - Empower technical and non-technical internal customers to self-serve data pull and data analysis needs. - Be … the expert on the data used and generated by the team's products. Act as Subject Matter Expert when it comes to data questions. - Derive insights from data; Synthesize data into succinct narrative and bridges to enable business and leadership to make investment and strategy decisions - Develop and automate market-segment reports to enable business team … diverse suit of functions dedicated to deeply understand and improving Customer Experience, globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is More ❯

models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the … and maintain comprehensive monitoring and alerting systems for our ML infrastructure and models, leveraging tools like DataDog to ensure system health and performance Collaboration and Mentorship: Collaborate effectively with data scientists, engineers, and other stakeholders. Provide guidance and support to junior team members Performance Optimization: Continuously optimize ML model performance, data pipelines, and infrastructure to meet evolving business … needs Security and Compliance: Ensure the security and compliance of our machine learning applications and data pipelines, adhering to industry best practices and regulations Problem Solving and Troubleshooting: Proactively identify and resolve issues related to ML model performance, data integrity, and infrastructure What You Bring To The Team Bachelor’s or Master’s degree in Computer Science More ❯

high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … mentor, and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud More ❯

multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked to build out high impact data models and internal tooling to support the global Analytics team. We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics data platform. We work alongside an exploding team of innovative data-driven decision makers directly impacting Rockstar’s future. RESPONSIBILITIES Partner with Data Scientists and business stakeholders to understand analytical needs and translate … them into robust data infrastructure and workflows for the global Analytics team to leverage for deriving insights. Collaborate with the Data Engineering team to design data models and data pipelines. Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability. Collaborate with the Data Integrity More ❯

support of making judgements while leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. The Analytics Architecture vertical within the Analytics team is tasked to build out high impact data models and internal tooling to support the global Analytics team. We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics data platform. Responsibilities Build, spearhead and provide technical mentorship for a team of analytics engineers by sharing technical expertise to support the successful execution of analytics projects. Partner with data scientists and business stakeholders … to understand analytical needs and translate them into robust data infrastructure and workflows for the global analytics team to leverage for deriving insights. Collaborate with data engineering team to architect overall infrastructure model. Design, develop and maintain scalable data pipelines. Monitor performance and optimize data systems for high performance and reliability. Collaborate with the Data More ❯

high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud … availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation More ❯

high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud … availability inference. 2. Strategic Leadership • Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation More ❯

we will transform our sector for our players, for ourselves and for the good of entertainment. Job Description Are you a strategic thinker with a deep technical background in data science, machine learning, and AI? Do you thrive on transforming complex data into actionable insights? At Entain , we're looking for a Senior Data Science & AI Manager to lead our world-class team in delivering transformative, data-driven solutions across our global operations. About the Role As our Senior Data Science & AI Manager, you'll lead a team of data scientists and AI experts to develop cutting-edge models, uncover critical business insights, and drive strategic decisions. Your work will … power innovation across all stages of Entain's product lifecycle - from inception through growth and maturity - shaping the future of data at one of the world's largest sports betting and gaming groups. Key Responsibilities Team Leadership: Manage and develop high-performing teams of data scientists, fostering a collaborative and innovative environment. Project Oversight: Coordinate the distribution of More ❯

As a Head of Data Science & Engineering as a senior member of the Data & Analytics team you will join us on our journey and undertake a valuable role responsible for the development and delivery of functional strategies, role always modelling the Post Office behaviours and demonstrating a Postmaster first mindset. The job title will be responsible for … leading the development, deployment, and optimisation of data science models and engineering pipelines to drive business transformation. Reporting to the Data & Analytics Director, this role provides strategic and technical leadership to a team of data scientists and data engineers, to facilitate high-quality and actionable insights by ensuring that data is available and reliable. … The role will also oversee workflow prioritisation, quality assurance, and the implementation of best practices in data science and engineering to enhance decision-making across the organisation. Additionally, the Head of Data Science & Engineering will play a key role in fostering innovation, ensuring data compliance, and aligning analytics initiatives with business goals. They will drive More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around the world across … most challenging problems facing some of the best loved brands in the world - and doing this alongside an experienced team. JOB PURPOSE We are seeking a talented and passionate Data Scientist & ML Engineer to join our growing team. As a Data Scientist & ML Engineer, you will play a crucial role in designing, developing, and deploying innovative AI solutions … statistical analysis including A/B testing, causal inference, and experimental design Deploy production ML systems with automated retraining, drift detection, and real-time inference capabilities Work closely with data engineers, consultants and clients to ensure seamless integration and deployment of ML solutions that create business impact Communicate complex technical solutions to clients in an understandable way, delivering progress More ❯

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their … with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize … and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯

Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯

Social network you want to login/join with: Data Scientist Location: London, United Kingdom This is an exciting opportunity to join our Data Science team in London! How you will create impact: As a Data Scientist at Simon-Kucher, you will be an integral part of the project teams working to drive top-line growth … for our clients, primarily focused on UK and Netherlands projects. You will be responsible for core components of the model development process, from data wrangling/pre-processing to Machine Learning model development, testing, and implementation. You will also gather and communicate meaningful data insights to your project team. Your responsibilities include: Data wrangling, extraction, and pre … processing in SQL or Python Conducting exploratory data analysis and communicating insights through clear descriptions and visualizations in Tableau or PowerBI Developing, testing, and implementing Machine Learning models Conducting research on recent developments in Machine Learning and AI, focusing on pricing, sales, and marketing topics Being a subject matter expert on Machine Learning and AI for your project team More ❯