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- Tasks: Develop innovative software tools to drive data-driven insights for clients.
- Company: Join Medialab, the UK's leading independent media agency with a vibrant culture.
- Benefits: Enjoy competitive salary, flexible working, and extensive health and wellbeing perks.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact by transforming manual workflows into automated systems.
- Qualifications: Strong Python skills and experience in data science and machine learning.
The predicted salary is between 50000 - 65000 ÂŁ 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 work abroad 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
The Data Science Engineer is a pivotal technical role focused on supporting the development of specialised software and tools that enable our Marketing Effectiveness team to deliver data driven insights to our clients. Sitting at the intersection of Data Science and Engineering within the Apollo Innovation team, this role helps drive the transition from manual workflows to automated, production‑ready systems. Beyond the hands‑on improvement and maintenance of our existing tools to guarantee operational stability, you will have the opportunity to contribute directly to our R&D. You will drive innovation by using your technical experience to develop in‑house capabilities and solutions that directly enhance our Marketing Effectiveness proposition.
HOW YOU WILL MAKE AN IMPACT
- Maintain and enhance core Python modelling tools for the Marketing Effectiveness team.
- Manage the migration of manual workflows into automated, production‑ready software.
- Develop in‑house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition.
- Provide technical support, diagnosing and resolving complex bugs in tools and innovation products.
- Liaise with analytical stakeholders to ensure technical builds directly solve domain‑specific problems (MMM/Econometrics).
- Responsible for the configuration and accuracy of innovation products used in client delivery.
- Produce comprehensive technical documentation and advocate for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood.
- Actively mentor Junior Engineers, providing guidance and participating in peer code reviews to ensure team‑wide quality.
WHAT YOU WILL BRING TO THE TEAM
MUST HAVE SKILLS
- Strong Python engineering skills, writing clean, modular, and production‑ready code.
- Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics.
- Excellent communication skills, able to explain complex concepts to both technical and non‑technical audiences.
- Strong command of software development fundamentals, including version control (Git) and agile methodologies.
- Proficiency in SQL for robust data extraction, manipulation, and analysis.
- An academic background in a relevant field such as Computer Science or Data Science.
NICE TO HAVE SKILLS
- Familiarity with cloud platforms, specifically GCP (Google Cloud Platform).
- Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA.
- An understanding of deployment practices and CI/CD concepts.
Data Science Engineer in City of Westminster employer: MediaLab Group
Contact Detail:
MediaLab Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Medialab employees on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to data science, make sure to share it during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your Python and SQL knowledge, and be ready to discuss how you've tackled real-world problems. Practice makes perfect, so run through some mock interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our journey.
We think you need these skills to ace Data Science Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Engineer role. Highlight your Python skills, data science experience, and any relevant projects that showcase your ability to develop automated systems. We want to see how you can make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven insights and how your background aligns with our values. Show us your personality and enthusiasm for the role!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with machine learning, SQL, and any cloud platforms you've worked with. We love seeing candidates who can dig deeper to understand better!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at MediaLab Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing clean, modular code and how you've applied it in real-world scenarios. They’ll likely want to hear about specific projects where you’ve used Python for data science tasks.
✨Showcase Your Data Science Knowledge
Prepare to talk about your experience with machine learning and statistical models, especially in relation to Marketing Mix Modelling (MMM) and Econometrics. Bring examples of how you've used these techniques to solve problems or improve processes in previous roles.
✨Communicate Clearly
Since you'll be liaising with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you successfully communicated technical information to a non-technical audience, as this will demonstrate your versatility.
✨Be Ready for Problem-Solving Questions
Expect to face some technical challenges during the interview. Brush up on your debugging skills and be prepared to walk through how you would diagnose and resolve complex bugs in tools. They might also ask about your experience with version control and agile methodologies, so have those examples ready too!