Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Cheltenham
4 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Customer Data

Data Scientist / Software Engineer

Data Scientist - Outside of IR35

Data Scientist - 12 month contract

Data Scientist  

Hybrid Up to 2 days/week on-site in Cheltenham

Permanent - Up to £60,000 + bonus and enhanced benefits

We're hiring a Data Scientist to join a fast-growing digital function within a globally respected manufacturing group. You’ll play a critical role in using data to solve business problems, shape products, and support sustainable innovation across manufacturing, energy, and industrial markets.

About the Role

Part of the digital team, you’ll work closely with domain experts, engineers, and commercial stakeholders to develop models that drive smarter decisions. This includes improving operational efficiency, building predictive capabilities, and supporting strategic projects.

Key Responsibilities

Collaborate with internal customers to define business problems and translate them into data science tasks

Use statistical analysis, machine learning, and visualisation to extract insights

Build prototypes and production-level models using Python and cloud services (Azure preferred)

Present findings clearly to non-technical stakeholders

Support data governance and model lifecycle management

What We're Looking For

Solid background in data science, analytics, or applied statistics

Proficiency in Python, SQL, and data visualisation tools (e.g. Power BI)

Experience working in cross-functional teams in a commercial environment

Knowledge of Azure ML, Databricks, or equivalent platforms

Comfortable managing stakeholders and explaining complex concepts clearly

Desirable

Background in manufacturing, energy, or engineering sectors

Experience applying models in a product or operational context

Exposure to Agile delivery methods and data engineering concepts

This position will have some office time in Cheltenham so you must be willing to commute to the office, they unfortunately ae not able to offer sponsorship

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.