Data and Statistical Modelling Engineer

Abingdon, OX14 5BH, United Kingdom
Last month
£50,000 – £65,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Senior ML Runtime Engineer

Fractile London, United Kingdom

Senior Data Scientist - Computational Biology

Relation Therapeutics London, United Kingdom
On-site

Data Scientist – Single Cell & Spatial (12-month

Relation Therapeutics London, United Kingdom
On-site

Data Scientist

Harnham - Data and Analytics Recruitment Merseyside, United Kingdom
£40,000 – £48,000 pa Hybrid

Senior Data Science Consultant

Deerfoot Recruitment Solutions London, United Kingdom
£60,000 – £70,000 pa Hybrid

Senior RF Data Scientist / Research Engineer

Adria Solutions Cambridge, United Kingdom
£80,000 – £110,000 pa Hybrid

Senior Data Scientist

Harnham - Data and Analytics Recruitment London, United Kingdom
£80,000 – £95,000 pa Remote

Salary

£50,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last month)

Your new role
As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables critical to scaling production across a growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance.
Key responsibilities include:

  • Developing and maintaining statistical and ML models to analyse machine and material performance data
  • Building and refining data pipelines to post-process experimental and operational data
  • Collecting experimental data and owning frameworks that track performance over time
  • Collaborating with testing engineers to design robust experiments and ensure high-quality training data
  • Working with software engineers to embed modelling outputs into internal tools and platforms
  • Communicating insights clearly to ensure your work delivers tangible value across the business

This role is based at a dedicated R&D facility and offers exposure to real-world, high-impact engineering challenges.
What you'll need to succeed
You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes:

  • A degree in Mathematics, Physics, Engineering, Computer Science, Data Science or a related STEM discipline (or equivalent experience)
  • Strong programming skills, particularly in Python
  • Excellent problem-solving and analytical thinking
  • High attention to detail with the ability to manage work independently
  • Strong communication skills and confidence working in cross-functional teams

Desirable experience includes:

  • Industry or postgraduate experience in machine learning and/or statistical modelling
  • Probabilistic programming and time-series forecasting
  • Experience within additive manufacturing, particularly Laser Powder Bed Fusion
  • Investigating and reducing variation in production or manufacturing environments
  • Interest in high-performance applications such as aerospace, precision engineering or advanced electronics



What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.