11 of 11 Permanent Data Science Jobs in Northampton

Data Science Training & Internship – CP Int-Elligence Tech Solutions Plc (UK-Based) Remote | 3 Months | Industry-Recognised Certificate | 1:1 UK Mentorship | January 2026 The UK job market continues to face a shortage of skilled data professionals. Organisations across industries are actively seeking individuals who can turn … data into meaningful insights and business value. Data science is no longer optional - it is becoming a core capability for growth-driven organisations in the UK. About 46% of UK businesses said they struggled to recruit for roles requiring data skills over the past two years ...

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 ...

backed business that is currently under performance scrutiny and therefore requires robust, defensible reporting and analysis. The focus of the role is not advanced data science or marginal optimisation. Instead, it is about extracting, cleaning, transforming and presenting data so senior leadership and investors can clearly understand … improve this end-to-end, while gradually moving reporting into a more automated, Power BI-led environment. What you'll be responsible for Extracting data from an ERP system (e.g. NetSuite) Transforming and validating data using tools such as Alteryx or SQL-based workflows Producing accurate, repeatable weekly ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical … concepts, and feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...

competitive salary + comprehensive benefits Requirements for Machine Learning Research Engineer You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic … Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating the latest research ...

front end of enterprise software or SaaS products that are used by large enterprises. A small highly collaborative product team consisting of designers and data scientists within a growing consultancy so the ideal candidate will take ownership of the development of the product (alongside the product lead … excellent communicator, able to contribute to the roadmap and steer technical decisions. You will be expected to: ● Develop new features working with the data science ● Develop bug fixes and security patches promptly ● Collaborate and contribute to product feature planning (from a technical perspective) ● Lead implementation of testing infrastructure ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

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 ...