Senior Data Scientist - #2170722
Harnham - Data & Analytics Recruitment
Date: 1 hour ago
City: London
Salary:
£70,000
-
£90,000
/ year
Contract type: Full time
- Own and enhance the organisation's Marketing Mix Modelling framework using modern methodologies and tools.
- Design, analyse, and validate incrementality and experimentation programmes across marketing channels.
- Translate complex modelling outputs into clear budget recommendations and commercial actions.
- Partner closely with marketing stakeholders to improve channel performance and investment decisions.
- Develop and maintain customer lifetime value (LTV) models to support acquisition and retention strategies.
- Apply causal inference techniques to improve attribution and marketing measurement.
- Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour.
- Communicate findings and recommendations to both technical and non-technical audiences.
- Strong commercial experience in Marketing Measurement, Marketing Mix Modelling, incrementality testing, or causal inference.
- Deep understanding of experimentation methodologies, statistical analysis, and hypothesis testing.
- Experience working with paid media performance data and digital marketing platforms.
- Strong SQL skills and experience working with modern cloud data environments.
- Strong Python expertise for analysis, modelling, and data science workflows.
- Experience building predictive models, including customer lifetime value modelling.
- Ability to influence business decisions through clear communication and data-driven recommendations.
- Comfortable operating in a fast-paced environment with a high degree of ownership.
- Experience with Bayesian modelling frameworks such as PyMC.
- Exposure to value-based bidding and marketing attribution challenges.
- Experience within consumer, marketplace, travel, ecommerce, or subscription-based businesses.
- Knowledge of uplift modelling and advanced customer targeting approaches.
- Clear opportunities to take ownership of high-impact data science initiatives and develop your career within a growing analytics function.
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