8 of 8 Permanent Data Science Jobs in Northampton

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Data Scientist Salary: £70,000Location: UK-based A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems. This is a strategic individual contributor role where you'll own high-impact projects from design to deployment and shape the … future of search technology for some of the biggest names in private equity. Ideal Candidate Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments Languages & Tools: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch) Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG … pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager Technical discussion with the VP of Engineering Sign of chat with CEO More ❯

apprenticeship. What we’re looking for: We are open to a number of potential applicant routes. Do you fall into ANY of the following categories: Technically strong in computer science, AI, data science or related fields. A self-taught ML/AI practitioner with demonstrable personal or professional projects. An early-career technologist looking to gain a … technical subject.** International Baccalaureate at Level 3 in a similar subject. 3+ years in a similar subject-related role. A first degree in a numerate discipline (but excluding Computer Science as not fundable). You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Experience … delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave And much More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting … skills Experience delivering Data Science projects Experience with Gen-AI would be advantageous Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental More ❯

Development, Website, Web Design, Front End, 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. More ❯

Development, Website, Web Design, Front End, 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. More ❯

Development, Website, Web Design, Front End, 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. More ❯