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Data Scientist​/Engineer - Mid Level

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Datatech Analytics
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 50000 GBP Yearly GBP 50000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist / Engineer - Mid Level
Location: Greater London

Data Science Engineer - MMM/Econometrics - Central London Hybrid – Up to £50,000 depending on experience - J13129

Amazing opportunity to join one of the UK’s leading independent media agencies as a Data Science Engineer. A pivotal technical role sitting at the intersection of data science and engineering, supporting the marketing effectiveness team in delivering high impact, data driven insights

Working for an IPA Effectiveness accredited agency, across multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities.

What you’ll do
  • Maintain and enhance core Python modelling tools for Marketing Effectiveness
  • Migrate manual workflows into automated production systems
  • Develop in-house tools that improve our MMM and econometric capabilities
  • Diagnose and resolve complex technical issues across production systems
  • Work closely with analysts and stakeholders to solve domain-specific challenges
  • Ensure accuracy and configuration of tools used in client delivery
  • Produce clear technical documentation and promote best practices
  • Mentor junior engineers and contribute to peer code reviews
You’ll need to have
  • Experience in data science, including ML/statistical modelling for MMM and econometrics
  • Strong SQL for data extraction and analysis
  • Solid understanding of software engineering fundamentals (Git, agile workflows)
  • Ability to communicate complex ideas clearly to technical and non-technical audiences
  • Degree in Computer Science, Data Science, or related field

If this sounds like the role for you then please apply today!

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