Birmingham, Leeds, London, Liverpool, United Kingdom Hybrid / WFH Options
UK Health Security Agency
Job summary The Chief Data Officer Group (CDO), consists of a large community of data scientists, government analysts (GSG, GORS, GES, GSR), intelligence analysts, mathematical modellers, epidemiologists, information specialists, and data engineers. This is a unique opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. … UKHSA has a strong datascience community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with … curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work More ❯
About The Role To lead datascience projects from initial problem statement, through data exploration, transformation, and the application of advanced analytics to our existing business processes. Support the Commercial Team in transforming data analytics, data engineering, and datascience capabilities. As part of the Central Data Team dedicated to the Commercial … Team, you will drive a data-driven culture, best practices, and advanced methodologies to build, improve, and automate solutions for commercial decision-making. This is a 9-12 month maternity cover role! Accountabilities Design, develop, and evaluate predictive models and algorithms to extract maximum value from data. Maintain reproducible workflows, document experiments, and track model performance. Create solutions across … business strategy and decisions. Partner with Commercial managers in Pricing, Sales, and Ecommerce to develop strategic initiatives and support project implementation. Promote a culture of best practices, innovation, and data maturity. Apply knowledge of statistics, machine learning, programming, data modeling, and mathematics to identify patterns, opportunities, and develop prototypes. Why AAH? AAH is the leading medical supplier in More ❯
to centralize related platforms, services, and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team's core priorities include: Establishing positions data quality, accountability, and lineage. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. Accelerating the adoption of Cloud and … Core Engineering solutions. Support the development of analytic calculations and data transformations. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits. WHAT WE LOOK FOR This VP role is for a seasoned technology leader responsible for the strategic direction, execution, and overall management of software engineering … and explore emerging technologies to improve efficiency and effectiveness. Lead the effort to reduce technical debt and modernize legacy systems. SKILLS AND RELEVANT EXPERIENCE Bachelor's degree in computer science, Electrical Engineering, or related technical discipline; Master's degree preferred. 7+ years of relevant experience in software development, with a minimum of 3 years in a leadership role. Proven More ❯
to centralize related platforms, services, and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team's core priorities include: Establishing positions data quality, accountability, and lineage. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. Accelerating the adoption of Cloud and … Core Engineering solutions. Support the development of analytic calculations and data transformations. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits. WHAT WE LOOK FOR This VP role is for a seasoned technology leader responsible for the strategic direction, execution, and overall management of software engineering … and explore emerging technologies to improve efficiency and effectiveness. Lead the effort to reduce technical debt and modernize legacy systems. SKILLS AND RELEVANT EXPERIENCE Bachelor's degree in computer science, Electrical Engineering, or related technical discipline; Master's degree preferred. 7+ years of relevant experience in software development, with a minimum of 3 years in a leadership role. Proven More ❯
Opportunity A fantastic opportunity has come up to work for a genuine market leader in an exciting and innovative industry. They plan to build a newly created BI and Data Engineering division to work alongside other Data and Analytics teams across the group. For this role, they need someone to serve as a central resource from within their … Strategy and Analytics department, also working with, but not exclusive to, the Commercial, Finance, and Operational business functions, to help advance the group’s data infrastructure and support in transforming data into actionable insights and triggered events for Business Intelligence (BI) and Customer Relationship Management (CRM) system purposes. This role will be instrumental in leveraging data to … ensure a fully integrated approach to data-driven decision-making and also business strategy. Day-to-day tasks Work across the group and with the divisions' data partners to leverage all available data, building out the group's database, reporting and insights capabilities to enable data-led decision making. Design, develop and maintain scalable, user-friendly 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 ❯
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 ScienceMore ❯
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 ScienceMore ❯
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 ScienceMore ❯
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 ScienceMore ❯
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 ScienceMore ❯
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 ScienceMore ❯
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 ScienceMore ❯
Analyst, DataScience – at Bank of England (Visa Sponsorship Available) The Bank of England is seeking a highly motivated Analyst, DataScience in Agencies to join its esteemed team across various UK locations (Leeds, Birmingham, Cardiff, Glasgow, London). This exciting opportunity is open to candidates requiring Skilled Worker visa sponsorship, making it ideal for international … professionals looking to contribute to a globally respected institution. Ideal applicants will bring proven experience in datascience and artificial intelligence, particularly in applying AI to analyse complex information. The role requires strong interpersonal and teamwork skills, as collaboration is central to the Bank’s mission of maintaining monetary and financial stability in the UK. Working at the … technology to influence public policy and financial systems, this is a role that offers purpose and progression. Apply today and help shape the future of the UK economy through data-driven insight. About the Bank of England The Bank of England, established in 1694 as a private institution serving as banker to the Government, now stands as the United More ❯
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Company Description Job Description The IT Data Engineering Manager will play a pivotal role in advancing the data maturity of the Data & AI department by owning and delivering the data engineering roadmap. They will manage the … Data Engineering team, providing best practices and specialized support as an expert and consultant to deliver solutions that enable the business to maximize value. The IT Data Engineering Manager will be responsible for the entire engineering lifecycle, from data ingestion to transformation to serving. They will support the development and optimization of the environment and platforms to … ensure ongoing growth and adherence to industry best practices. Define and implement data engineering strategies and best practices Oversee data platform architecture for scalability and reliability Lead and manage a team of data engineers Collaborate with architects, analysts, and business teams to align data solutions with organizational goals Manage the data engineering roadmap, ensuring it More ❯
Data Scientist Duration: 6 Months Location: Warwick/Remote Are you ready to make a significant impact in the utilities sector? Join our client's dynamic DataScience team as a Data Scientist, where your expertise will drive data-driven solutions that enhance decision-making for asset management and energy system operations. Dive into exciting … projects that support regulatory commitments and contribute to our ongoing business-as-usual initiatives! What You'll Do: As a Data Scientist, you will lead the charge in developing innovative datascience use cases. Your role will involve: optimising Decision-Making: Develop and deliver data-driven solutions for gas transmission system operations and asset management. Collaborative … Engagement: Work closely with internal stakeholders to identify opportunities and refine data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards More ❯
Data Scientist Duration: 6 Months Location: Warwick/Remote Are you ready to make a significant impact in the utilities sector? Join our client's dynamic DataScience team as a Data Scientist, where your expertise will drive data-driven solutions that enhance decision-making for asset management and energy system operations. Dive into exciting … projects that support regulatory commitments and contribute to our ongoing business-as-usual initiatives! What You'll Do: As a Data Scientist, you will lead the charge in developing innovative datascience use cases. Your role will involve: optimising Decision-Making: Develop and deliver data-driven solutions for gas transmission system operations and asset management. Collaborative … Engagement: Work closely with internal stakeholders to identify opportunities and refine data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards More ❯
join with: Halfords have recently set up a new group-wide Commercial Planning team, across our Retail, Garages and Mobile businesses. This includes pricing, promotions, and commercial forecasting. The DataScience team are seeking a motivated Data Scientist to support the Commercial Planning and Pricing Teams. As a Data Scientist in our company, you will play … a crucial role in driving data-driven pricing strategies to optimise revenue, improve customer experience, and support business growth. Joining Halfords as a Pricing and Promotions Data Scientist offers an exciting opportunity to contribute to the growth and success of a leading retail organization. You will have the chance to work with large-scale datasets, leverage advanced analytics … techniques, and influence critical pricing decisions. If you are passionate about data-driven decision-making and thrive in a collaborative, innovative environment, we would love to hear from you. End to End delivery You’ll be responsible for scoping the brief with stakeholders, data gathering, feature engineering, & model delivery right through to stakeholder model presentation. Data analysis More ❯
health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI …/ML models with grid data to ensure they meet accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions. The ideal candidate will have significant experience in the energy … domains such as smart infrastructure (e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). They should have a strong understanding of how to apply datascience and data engineering techniques to develop, validate, and enhance AI/ML models within these complex and data-rich environments. Job Description Essential Responsibilities: Design More ❯
Stafford, England, United Kingdom Hybrid / WFH Options
Energy Job Search
the diverse needs of our customers. Monitor, maintain, and optimize deployed AI/ML models to continuously enhance their accuracy and performance. Manage the collection, structuring, and analysis of data to enable seamless AI/ML applications. Ensure that models are production-ready and continuously improve in line with emerging needs and technologies. Embrace MLOps principles to streamline the … and scalable. Integrate AI/ML solutions effortlessly into grid automation systems, whether in the cloud or at the edge. Must-Have Requirements Master's or PhD in Computer Science, Information Technology, Electrical Engineering, or a related field. Proven experience in the energy, smart infrastructure, or industrial automation sectors, with expertise in system protection, automation, monitoring, and diagnostics. Strong … optimization. Proficiency in programming languages such as Python, R, MATLAB, or C++. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Nice-to-Have Requirements Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Merantix
a subject matter expert in construction digital twins and AI model development to lead the creation of real-time, multimodal digital twin solutions. This role focuses on integrating diverse data sources including BIM, schedules, reality capture, and field data into cohesive, AI-driven models that enhance project visibility and decision-making. Key responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of emerging technologies and … real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations to stakeholders and leadership, enabling data-informed strategic decisions Very advanced expert roles that provide advice relevant to their subject matter expertise to senior leaders Jobs at this level reflect sophisticated subject matter expertise and More ❯
in its Magic Quadrant. You will become a part of a dynamic and collaborative environment, with a customer-focused culture of innovation. The Junior Product Owner role within the Data team at Sidetrade presents an exciting opportunity for individuals eager to grow their careers in a fast-paced, innovative environment. You'll be part of a collaborative team focused … on delivering impactful data-driven features and products that create real value for our clients and their customers. This role plays a key part in unlocking the full potential of our Data Lake datalake.sidetrade.com - ensuring data is transformed into actionable insights that drive ROI. We're looking for someone with a genuine passion for data, analytics … and solving complex data challenges. Your work will not only involve supporting data-driven decision-making but also presenting insights in compelling visual formats using tools like Power BI and other data visualization platforms. What you will love about working at Sidetrade: You will work with data across all modules in a dynamic, fast-paced environment More ❯
Consultancy) Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your … schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies … to support project continuity. Risk & Performance Management: Collaborate with the risk management team to incorporate data-driven risk models into the controls process. Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance. Stakeholder Engagement: Work closely with project teams to understand requirements and deliver tailored analytics solutions. Communicate complex analytics More ❯
is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Head of DataScience you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we … partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A More ❯
