151 to 175 of 2,777 Data Science Jobs in the UK excluding London

Join to apply for the Lead Data Engineer role at Motability Operations Ltd 4 days ago Be among the first 25 applicants Join to apply for the Lead Data Engineer role at Motability Operations Ltd Continuing Defleet’s data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking … for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem … of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and More ❯

sales, we're proud to be one of the fastest-growing retailers in the UK. And we want to pass that growth onto you. Are you passionate about turning data into powerful insights that shape strategic decisions? At Screwfix, we're looking for a Senior Analyst (Customer Data) to play a critical role in transforming how we understand … and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable strategies that improve performance and customer experience. This is … just a numbers role, it's an opportunity to impact the future of one of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

Lead Data Scientist (Equity Only) - 1% Job Details Location: Wakefield, United Kingdom Job Category: Other EU Work Permit Required: Yes Job Overview Luupli is a social media app in development aimed at providing opportunities for diverse creators from marginalized communities. As a Lead Data Scientist, you will leverage AWS analytics services to analyze data, develop data-driven solutions, and contribute to the company's growth. Responsibilities Collaborate with teams to define analytics goals and understand business objectives. Implement data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. … Develop KPIs and dashboards for decision-making using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance. Requirements Bachelor's or master's degree in relevant fields. Experience with AWS analytics services and cloud-based data analysis. Proficiency in AWS tools, data modeling More ❯

Lead Data Scientist (Equity Only) - Birmingham Location: Birmingham, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 About Luupli Luupli is a social media app 'in development' aimed at providing opportunities for diverse creators from marginalized communities. The platform will highlight their work and facilitate access to social media opportunities. … Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data sources, develop data-driven solutions, and provide actionable insights. Collaboration with cross-functional teams will be essential to shape data strategies and support business growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set … analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key metrics, develop KPIs, and create dashboards for decision-making. Perform exploratory data analysis to uncover trends and More ❯

Lead Data Scientist (Equity Only) - Stoke-on-Trent Job Details Client: Luupli Location: Stoke-on-Trent, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Lead Data Scientist - Equity-Only Role (1%) About Luupli: Luupli is a social media app in development that aims to provide opportunities … for diverse creators from marginalized communities, highlighting their work and offering access to social media opportunities. Role Overview: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Collaborate with teams to understand objectives and define … analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and pattern analysis. Create dashboards and visualizations for decision-making using Amazon QuickSight. Conduct exploratory data analysis to uncover insights More ❯

Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1% col-narrow-left Client: Location: Reading, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Lead Data Scientist - Equity-Only role 1% About Luupli Luupli is a … development' that aims to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to social media opportunities. Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities … Work with teams to understand objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for analysis and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data More ❯

Analytics Data Engineer Location: Birmingham (Hybrid/Remote options available) Salary: £40,000 - £75,000 (depending on experience) The Opportunity Join a forward-thinking Financial Services leader driving a groundbreaking Data Modernisation programme. We’re seeking talented Analytics Data Engineers to shape the future of data-driven decision-making in a fast-paced, innovative environment. This … permanent role offers a competitive salary, flexible working, and the chance to work with cutting-edge cloud technologies to deliver impactful data solutions. As an Analytics Data Engineer, you’ll design and build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud … native tools like Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes. Key Responsibilities Develop Scalable Data Pipelines: Design and implement ETL/ELT workflows using Python, SQL, and cloud-native tools to support analytics and reporting needs. Enable Business Insights: Build intuitive, optimised data models for platforms like Power BI, Tableau More ❯

Social network you want to login/join with: The Opportunity Join a forward-thinking Financial Services leader driving a groundbreaking Data Modernisation programme. We’re seeking talented Analytics Data Engineers to shape the future of data-driven decision-making in a fast-paced, innovative environment. This permanent role offers a competitive salary, flexible working, and the … chance to work with cutting-edge cloud technologies to deliver impactful data solutions. As an Analytics Data Engineer, you’ll design and build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud-native tools like Snowflake, Databricks, Python, and advanced visualisation platforms … to create solutions that drive measurable business outcomes. Key Responsibilities Develop Scalable Data Pipelines : Design and implement ETL/ELT workflows using Python, SQL, and cloud-native tools to support analytics and reporting needs. Enable Business Insights : Build intuitive, optimised data models for platforms like Power BI, Tableau, or Looker to enable self-service analytics for non-technical More ❯

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This … platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with … large datasets. Key Responsibilities: Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within More ❯

into existing systems, enabling customers to see what's important and change outcomes. Reporting to: Head of Global Business Delivery Key Responsibilities: Work with Commercial Delivery team to: Conduct data analysis based on current deployments and communicate key insights through reports, presentations and visualisations to stakeholders. Manage external and internal video analysis teams, perform moderation of results to ensure … tracking client rollout progress. Proactively monitor trials and roll-outs, identify potential incidents/bugs and notify/work closely with the Support team to resolve them. Work with Data Engineer to: Develop data warehouse configuration specifications. Alerting requirements and dashboard development. Develop production deployment reporting schema to align with customer dashboarding. ROI related statistics. Work with Product … requirements. Work with Marketing team to: Analyse and report on market trends. Support competitor analysis activities. Qualifications and training: Degree with strong statistical background (e.g. Mathematics, Physics, Geo-physics, Data scientist). Database experience. Demonstrated statistical skills. Technology and tools experience: Microsoft Azure, dashboarding (e.g. Power BI). Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards More ❯

into existing systems, enabling customers to see what's important and change outcomes. Reporting to: Head of Global Business Delivery Key Responsibilities: Work with Commercial Delivery team to: Conduct data analysis based on current deployments and communicate key insights through reports, presentations and visualisations to stakeholders. Manage external and internal video analysis teams, perform moderation of results to ensure … tracking client rollout progress. Proactively monitor trials and roll-outs, identify potential incidents/bugs and notify/work closely with the Support team to resolve them. Work with Data Engineer to: Develop data warehouse configuration specifications. Alerting requirements and dashboard development. Develop production deployment reporting schema to align with customer dashboarding. ROI related statistics. Work with Product … requirements. Work with Marketing team to: Analyse and report on market trends. Support competitor analysis activities. Qualifications and training: Degree with strong statistical background (e.g. Mathematics, Physics, Geo-physics, Data scientist). Database experience. Demonstrated statistical skills. Technology and tools experience: Microsoft Azure, dashboarding (e.g. Power BI). Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards More ❯

Join to apply for the Data Engineer role at Somerset Bridge Group Join to apply for the Data Engineer role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation: £55,000 - £68,500/year Description We're … building something special — and we need a talented Data Engineer to help bring our Azure data platform to life. This is your chance to work on a greenfield Enterprise Data Warehouse programme in the insurance sector, shaping data pipelines and platforms that power smarter decisions, better pricing, and sharper customer insights. The Data Engineer will … design, build, and optimise scalable data pipelines within Azure Databricks, ensuring high-quality, reliable data is available to support pricing, underwriting, claims, and operational decision-making. This role is critical in modernising SBG’s cloud-based data infrastructure, ensuring compliance with FCA/PRA regulations, and enabling AI-driven analytics and automation. By leveraging Azure-native services More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Innovation: Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯