Econometrician / Data Scientist

Job Description

Econometrician / Data Scientist

London (Hybrid working 3 office days per week)

Salary DOE £40,000-£45,000

Additional Benefits: Gym Membership, Pension and yearly bonus

Job Reference: J12950

We’re excited to be hiring for a unique opportunity to join a fast-growing, independent marketing effectiveness agency that genuinely puts its people first.

This is a chance for someone who wants to be a bigger fish in a smaller sea to step into a role where you can truly make your mark, have real influence, and accelerate your career growth as we continue to scale. With a loyal and diverse client base, and a culture built on support and empowerment, you’ll be part of a team where your ideas are heard and your impact is recognised.

We’re looking for a motivated and capable Econometrician / Data Scientist with 2–3 years of hands-on experience in Marketing Mix Modelling (MMM). Experience within the FMCG sector would be a bonus, but it’s not essential.

Roles and Responsibilities

• This role is well-suited for candidates who have a strong analytical mindset and prefer working behind the scenes with data
• Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director)
• Creating clear and insightful output decks for both internal stakeholders and client presentations

Experience & Skills Required

• Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS)
• Experience with model validation, diagnostics, and performance metrics
• Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression, lag structures, adstock, saturation, and interaction effects
• The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision.

If this sounds like you then please apply!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.