Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into data analysis and solve real business challenges with our digital team.
- Company: Join Saint-Gobain, a global leader in construction and manufacturing, focused on innovation.
- Benefits: Enjoy a flexible work schedule with remote options and hands-on experience.
- Why this job: Gain valuable insights and skills while making a real impact in a dynamic environment.
- Qualifications: Must be a 2nd-year student in Data Science or related fields with programming skills.
- Other info: Internship runs for 12 weeks starting June 2025, with potential travel to various UK locations.
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 analytics?
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
- 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.
- 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.
Digital and IT Intern- Data Science employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital and IT Intern- Data Science
✨Tip Number 1
Familiarise yourself with the Azure Data Platform and AI/ML services. Since you'll be working with these tools, having a solid understanding of how they function will give you an edge during the assessment day.
✨Tip Number 2
Brush up on your Python and SQL skills by working on small projects or challenges. Being able to demonstrate your programming experience in a practical way can really impress the interviewers.
✨Tip Number 3
Prepare to discuss real-world applications of data science. Think about how you've used analytical skills in past projects or coursework, as this will help you articulate your problem-solving abilities effectively.
✨Tip Number 4
Practice communicating complex data insights in simple terms. Since you'll need to engage with both technical and non-technical audiences, being able to convey your findings clearly is crucial.
We think you need these skills to ace Digital and IT Intern- Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant coursework and projects related to Data Science, Computer Science, Mathematics, or any other applicable field. Emphasise your programming experience with Python and SQL, as well as any familiarity with data analysis tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to learn. Mention specific skills that align with the internship requirements, such as your understanding of constrained optimization problems and your ability to communicate insights effectively.
Showcase Relevant Projects: If you have completed any projects using Python, SQL, or data analysis techniques, be sure to include them in your application. Describe your role in these projects and the outcomes achieved, demonstrating your analytical and problem-solving skills.
Prepare for the Assessment Day: Since there is an assessment day scheduled, prepare by reviewing common data science concepts and practice presenting your findings. Be ready to discuss how you would approach real business problems using data analytics and modelling.
How to prepare for a job interview at CV-Library
✨Showcase Your Technical Skills
Make sure to highlight your programming experience with Python and SQL during the interview. Be prepared to discuss any relevant projects you've worked on, especially those involving data analysis or modelling.
✨Understand the Business Context
Familiarise yourself with the core business challenges that Saint-Gobain Digital faces. This will help you demonstrate how your analytical skills can provide valuable insights and solutions to real-world problems.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be engaging with both technical and non-technical audiences, being able to communicate effectively is crucial.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Brush up on constrained optimization problems and think about how you would apply them to data scenarios relevant to the internship.
