9 of 9 Data Science Jobs in Bedford

Data Engineer £53,000 per annum Bedford Permanent Hybrid Working Role Overview Join us at the Money and Pensions Service (MaPS) as a Data Engineer where you will design and implement data pipelines to connect operational systems, engineering data for analytics and business intelligence (BI) systems … cloud-only environment, predominantly Microsoft Azure.This role offers the opportunity to work with Senior Engineers on cloud based data engineering pipelines and be part of developing our technical data architecture and platform.The Data Engineer reports to the Senior Data Engineer. The role is aligned ...

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

Data Scientist - £70k | Remote/Hybrid | FinTech/Payments We're working with an established FinTech/Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating … across several regulated markets. They're now investing further in their Data Science and AI capability and are looking for a Data Scientist to play a key role in shaping how advanced analytics, machine learning and AI are used across the business. The role As a Data ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

This role is the programme's data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client's Oracle cloud estate (ADW, OAC, Fusion, OIC). … Responsibilities Develop, enhance and maintain secure APEX applications for analytics, reporting and workflow enablement within the Defence programme. Build OAC dashboards, data visualisations, semantic models and automated reporting pipelines. Support data science explorations (feature sets, model inputs, structured data prep) and collaborate with AI engineers delivering ...

remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central … platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You'll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: Remote-first working model Autonomous, trusted working environment Collaborative ...

deployments of ML models (batch and/or real-time) Putting robust CI/CD pipelines in place for ML workflows Partnering closely with Data Scientists to move models from notebooks into production Establishing best practices around model governance, monitoring, retraining, and environments Integrating ML platforms with Databricks … productionising ML models across multiple client or project environments Background in one or more of: MLOps/ML Engineering DevOps with ML platforms Data Science with a strong production focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow ...

About Intellias Intellias is a European-founded AI, Data and Software Development company with global delivery capability across Europe, India and Latin America. For more than 20 years, we've empowered our customers to embrace innovation at scale and contributed to the success of the world's leading brands. … with the leading hedge funds, online trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities. As we continue to scale, we're expanding the team in the UK, bringing top talent on board ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...