Data and Statistical Modelling Engineer

Hays Technology
Abingdon, OX14 5BH, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Science Manager

Technify Talent Limited Reading, Berkshire, United Kingdom
£90,000 – £100,000 pa Hybrid

Automation Engineer

ARM Broughton, Clwyd, United Kingdom
£38 ph On-site

Senior Manufacturing Test Engineer

Barker Ross Congleton, Cheshire, United Kingdom
£45,000 – £55,000 pa On-site

C&I Engineer

E3 Recruitment West Thurrock, Essex, United Kingdom
£60,000 – £70,000 pa Hybrid

Automation Engineer

Arla Foods Wiltshire, United Kingdom
On-site

People Partner

Ocado Welwyn Hatfield, United Kingdom
On-site
Posted
6 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 businessThis role is based at a dedicated R&D facility and offers exposure to real‑world, high‑impact engineering challenges. Hybrid Working is available 2-3 days a week in the office depending on the project at the time.

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 teamsDesirable 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 (url removed)

Industry Insights

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

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Advertising robotics jobs in the UK requires a different approach to most technical hiring. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics 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.

Robotics Jobs UK 2026: What to Expect Over the Next 3 Years

Robotics is having a moment that feels qualitatively different from the cycles of hype and disappointment that have characterised the sector in previous decades. The convergence of advances in AI, computer vision, battery technology, and hardware manufacturing has brought robotics to an inflection point — one where the gap between what robots can do in controlled laboratory conditions and what they can do in the unpredictable complexity of the real world is closing faster than at any previous point in the discipline's history. For job seekers, this inflection point is creating a jobs market that is expanding rapidly across a far wider range of industries and role types than robotics has historically occupied. Automotive and manufacturing remain significant employers, but they are now joined by logistics and warehousing, healthcare, agriculture, construction, defence, and the emerging category of humanoid robotics — each generating distinct hiring demand and drawing on overlapping but meaningfully different skill sets. The candidates who will thrive over the next three years are those who understand where the sector is heading — which application areas are scaling from pilot to production, which technologies are defining the architecture of modern robotic systems, and how the definition of a robotics career is evolving beyond the mechanical engineering core toward a much richer intersection of software, AI, and systems engineering. This article breaks down what the UK robotics jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career at the leading edge of one of the most exciting technology transitions of the coming decade.

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.