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

Apply Now

Digital and IT Intern- Data Science

Loughborough
8 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Architect

Director, Head of Data Architecture, UK Deloitte Data Office

Director, Head of Data Architecture, UK Deloitte Data Office

Director, Head of Data Architecture, UK Deloitte Data Office

IT and Data Compliance Manager

Quantitative Developer...

Exciting 12-Week Data Science Summer Internship - June 2025

Assessment day to be held on Thursday 8th May 2025 at our Digital office in East Leake, Loughborough.

Are you a 2nd-year University student studying Data Science, Computer Science, Mathematics, Physics, Economics, or a related field? Looking for real-world experience in data science and analytic?

At Saint-Gobain Digital, we're offering a 12-week summer internship as a Data Scientist where you'll gain hands-on experience working on a critical business challenge within our industry-leading digital team.

What You'll Be Doing

As a Data Scientist / Analyst Intern, you will:
Work alongside our Digital Data team and key business stakeholders to deliver data insights and recommendations.
Analyze real business data (e.g., product purchases, sales, and distribution) to solve a core business problem through analytics and modelling.
Engage with UK&I Digital teams and key business contacts, presenting insights and recommendations.
Collect, analyze, and model business data, likely using Azure Data Platform and AI/ML services.
Work both on-site and remotely, with a balance of team collaboration and independent tasks.Internship Details

Duration: 12 weeks, starting June 2025

Hours: 35 hours per week (3 days on-site, 2 days remote)

Locations: Possible work at any of our three UK digital offices:

East Leake, Loughborough
Elland, West Yorkshire
Tadley, Hampshire
Ruddingtonđźš— A clean driving license is desirable for potential travel to other UK Saint-Gobain locations.

What We're Looking For

Currently in your 2nd year university in Data Science, Computer Science, Mathematics, Physics, Economics, or an equivalent field.
Programming experience with Python and SQL (ideally via an analytics type project)
Knowledge of the Python data & AI stack (e.g., pandas, numpy, scikit-learn).
Understanding of constrained optimization problems and how to apply them to data.
Strong analytical and problem-solving skills, with a critical thinking mindset.
Ability to communicate effectively with both technical and non-technical audiences.

Why Join Saint-Gobain Digital?

Saint-Gobain is a global leader in construction and manufacturing, committed to innovation, sustainability, and employee development. By joining our digital team, you'll be part of a dynamic, forward-thinking environment where your contributions truly make an impact.

This internship offers valuable real-world learning opportunities to support your education and future career aspirations. If you're looking for a chance to apply your skills in a fast-paced, hands-on role, we'd love to hear from you

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.

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.