Data Science Apprentice – Level 6; Degree

Science and Technology Facilities Council (STFC)
Salary: £24,340 per annum
Contract Type: Fixed-Term, 48 months
Hours: Full-time, 37 hours
Location: Hartree Centre, Sci-Tech Daresbury, Keckwick, Warrington, WA4 4AD

Closing Date: Sunday, 2nd February 2026
Interview Date: Feb 2026 / Mar 2026
Start Date: September 2026

Do you want to work with cutting-edge technologies and solve real-world problems with data science? At STFC, our scientists, technologists, engineers, and business support team explore the unknown and turn what they find into work that changes the world around us. Whether it’s sending probes into space or finding new ways to treat cancer, everyone here plays a vital role in making a positive difference to society.

Come and discover how much you can achieve when you’re surrounded by world-leading experts, encouraged to constantly learn, and empowered to explore your curiosity.

We are seeking to recruit a Data Science Level 6 Apprentice to join our Data Science group. Collaborating with our industry partners, we develop tools, frameworks, and applications to accelerate the adoption of emerging technologies across the UK industry and the public sector.

We’re looking for enthusiastic and motivated individuals ready to develop their skills through formal training and hands‑on experience. As an apprentice, you’ll gain real‑world experience, build technical and professional skills, and contribute to cutting‑edge research and innovation in a dynamic, supportive environment.

You’ll be fully supported throughout the programme with regular check‑ins from a dedicated Apprenticeship Coordinator, structured training, practical experience, and mentorship from industry professionals. Plus, you’ll have access to workshops, a peer network, and career development support, helping you feel confident and prepared for new challenges.

The Data Science groups work on data analytics, machine learning and artificial intelligence projects. Our projects span the technology readiness spectrum from early‑stage research through to commercial application of established techniques and are implemented on systems including our high‑performance computers and cloud. Our previous projects have included predicting healthcare pathways for NHS Liverpool, optimising the manufacture of sustainable clothing materials, and modelling the carbon intensity of power generators to help NESO reduce emissions from their decisions.

• BSc (Hons) in Data Science
• Level 6 Data Scientist Apprenticeship
• Data scientist

• Data Science Context:
  Relationship with computer science, statistics, and software engineering; impact of different schools of thought.
• Governance & Ethics:
  Data security, bias, prejudice, compliance, and international regulations.
• Data Systems:
  Processing and storage (on‑premise vs cloud), database types (relational, No
  
  SQL, real‑time).
• Analytical Techniques:
  Statistical models, predictive analytics, machine learning, AI, NLP, computer vision.
• Development Standards:
  Programming practices, testing, source control.
• Data Landscape:
  Sources (files, systems, APIs, social media), formats (structured/unstructured), patterns in real‑world data.
• Problem Reformulation:
  Translate organisational challenges into Data Science problems.
• Data Engineering:
  Source, pipeline, transform, and store data with governance.
• Programming & Analysis:
  Use appropriate languages/tools for manipulation, visualisation, and integration.
• Model Building:
  Statistical analysis, feature engineering, machine learning, optimisation.
• Solution Implementation:
  Evaluate architectures, deployment options, ROI, and scalability.

University of Nottingham:
Data Scientist Degree Apprenticeship - The University of Nottingham

Delivery – Blended (online with in‑person Block Release – 14 days per academic year)

You will work across the Hartree Centre’s project portfolio, focusing on data analysis and machine learning. You will regularly interact with other technical teams, including High Performance Computing, Artificial…