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- Tasks: Build Python tools and automate data science workflows in a dynamic media agency.
- Company: Join Medialab, the UK's leading independent media agency with a vibrant culture.
- Benefits: Enjoy competitive salary, flexible working, and 22 days holiday plus your birthday off.
- Other info: Experience a supportive environment with excellent career growth and fun team events.
- Why this job: Make an impact in AI and automation while working with top brands like Hovis and Alzheimer’s Society.
- Qualifications: Pursuing a degree in Computer Science, Software Engineering, or Data Science with Python skills.
The predicted salary is between 18000 - 25000 £ per year.
JOIN OUR JOURNEY
Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent.
Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025.
We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society.
Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore.
OUR VALUES
- Commit to Doing the Right Thing (Act with integrity and accountability)
- Help People Flourish (Invest in people)
- Dig Deeper to Understand Better (Data driven curiosity)
OUR COMMITMENT TO YOU
Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties.
On top of that, we offer extra benefits, which make life at Medialab even more rewarding:
- Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours, and both a work abroad and cultural bank holiday swap scheme.
- Hybrid Working – Balance between home and office (3 days in office). We welcome requests for flexible working arrangements from the commencement of employment.
- Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support.
- Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling.
- Supporting Families – Enhanced parental leave pay, flexible working and life assurance.
- Giving Back – Paid charity days and sustainability initiatives.
- Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture.
YOUR NEXT CHALLENGE
Are you currently pursuing an undergraduate degree in Computer Science, Software Engineering, or Data Science? Does the world of AI and automation grab your attention? We are looking for someone who is interested in building the software and data infrastructure that powers advanced data science in the media advertising landscape.
As a University Placement Data Science Engineer at Medialab, you will join the rapidly developing data team, acting as the engineering engine behind our modelling infrastructure. You will be responsible for building the Python tools, automated pipelines, and AI solutions that empower our econometricians to measure media investment. You will also create compelling data stories, and automate insights with unprecedented speed and accuracy.
HOW YOU WILL MAKE AN IMPACT
- Support the development and maintenance of data science tools, improving automation, efficiency, and scalability.
- Work closely with data scientists and stakeholders to refine and enhance our internal modelling and data analysis tools, transforming manual workflows into reliable infrastructure.
- Support in the hands‑on development of AI agents and rapid Proofs of Concept (POCs).
- Implement and improve machine learning workflows, supporting the deployment and monitoring of models.
- Act as frontline technical support, troubleshooting and applying user feedback to iteratively improve internal tools.
- Write clean, testable code and maintain clear technical documentation.
- Manage development tickets within an Agile environment.
WHAT YOU BRING TO THE TEAM
MUST HAVE SKILLS
- Currently pursuing an undergraduate degree in Computer Science, Software Engineering, Data Science.
- Proficiency in Python, specifically with popular libraries like Pandas and NumPy.
- Highly capable with Microsoft Excel and the wider MS Office suite.
- Exposure to SQL for querying and managing structured datasets.
- Theoretical understanding of machine learning concepts and statistical techniques.
- Foundational experience with version control (Git) and collaborative coding environments.
- Good communications skills.
NICE TO HAVE SKILLS
- Pragmatic approach to problem solving.
- Inquisitive engineering mindset with a strong desire to build and automate.
- Highly organised with strong attention to detail.
- Be a genuine team player whilst also being able to deliver on a task you are responsible for.
- Quick learner, pro‑active mind set, resourceful, and able to think for self.
- Interest in econometrics or familiarity with CI/CD concepts would be useful but not essential.
Junior Data Science Engineer - 1 Year University Placement in London employer: Medialab Group
Contact Detail:
Medialab Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Science Engineer - 1 Year University Placement in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Medialab on LinkedIn, ask them about their experiences, and see if they can give you any insider tips. A friendly chat can go a long way in making your application stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding machine learning concepts. Be ready to discuss how you can contribute to building data science tools and automating processes. Show us your passion for data!
✨Tip Number 3
Don’t just focus on technical skills; highlight your teamwork and communication abilities. Medialab values collaboration, so share examples of how you've worked with others to solve problems or complete projects.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in joining Medialab and makes it easier for us to track your application. Plus, you’ll get all the latest updates directly from us!
We think you need these skills to ace Junior Data Science Engineer - 1 Year University Placement in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Science Engineer role. Highlight your relevant skills in Python, SQL, and any projects that showcase your data science capabilities. We want to see how you fit into our purpose-led, data-driven culture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and automation, and explain why you're excited about joining Medialab. Let us know how your values align with ours, especially around doing the right thing and helping people flourish.
Showcase Your Projects: If you've worked on any relevant projects, whether in university or on your own, make sure to include them. We love seeing practical applications of your skills, especially if they involve building tools or automating processes. It shows us your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Medialab Group
✨Know Your Stuff
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in your projects or coursework, as this will show your practical understanding of data science.
✨Show Your Curiosity
Medialab values a data-driven curiosity, so come prepared with questions about their projects and how they use data in their campaigns. This not only shows your interest but also aligns with their commitment to digging deeper to understand better.
✨Be Ready for Problem-Solving
Expect some technical questions or scenarios where you'll need to demonstrate your problem-solving skills. Think about past experiences where you've tackled challenges, particularly in coding or data analysis, and be ready to share those stories.
✨Communicate Clearly
Good communication is key, especially when working in teams. Practice explaining complex concepts in simple terms, as you might need to do this during the interview. Being able to articulate your thoughts clearly will set you apart.