targetjobs UK
Junior Data Science Engineer - 1 Year Data Placement

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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. 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Next Challenge
Are you interested in building the software and data infrastructure that powers advanced data science in the media advertising landscape? Does the world of AI and automation grab your attention?
If the answer to all the above is ‘YES!’ then look no further than Medialab.
As a 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, create compelling data stories, and automate insights with unprecedented speed and accuracy.
We are looking for practical, logical, detail-oriented and above-all, enthusiastic placement students to support in delivering robust infrastructure and building on the technical capabilities of our products.
We will help you apply your software engineering, Python, and problem-solving skills to practical real-world applications in the media advertising landscape.


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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.
Must Have Skills
What You Bring to the Team
- Currently pursuing a 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 communication 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 mindset, resourceful, and able to think for self.
- Positive attitude.
- Interest in econometrics or familiarity with CI/CD concepts would be useful but not essential.
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