• 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 advocates 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 participate 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.