National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Digital and IT Intern- Data Science

Loughborough
3 months ago
Applications closed

Related Jobs

View all jobs

OT Framework IIoT Architect

Head of Data Engineering & Insight

Data Engineering Manager

Data Engineer

Data Engineering Manager

Data Engineering Manager

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

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.