Principal Decision Scientist – Marketing

Principal Decision Scientist – Marketing

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative marketing experiments and develop advanced statistical models to drive strategic decisions.
  • Company: Join a forward-thinking organisation focused on data-driven marketing excellence.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with the chance to influence key business decisions across multiple teams.
  • Why this job: Make a real impact by shaping marketing strategies with your analytical expertise.
  • Qualifications: Strong background in data analysis, statistical modelling, and cross-functional collaboration.

The predicted salary is between 70000 - 90000 Β£ per year.

Overview Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale.

Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership.

Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product.

Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation.

Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems.

Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level.

Partner with Finance (FP

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Contact Details:

Jobtailor Recruitment Team

We think you need these skills to ace Principal Decision Scientist – Marketing

Experimentation Frameworks
Incrementality Testing
Marketing Mix Modelling (MMM)
Statistical Modelling
LTV Prediction
Churn Scoring
Audience Segmentation