Data Scientist - Acquisition Tech Team
$60,000–$90,000 year
Hybrid · London, England, United Kingdom
Job Summary
As a Data Scientist in the DE Acquisition Tech team, you’ll design and evaluate experiments, build statistical and predictive models, and interpret complex data into actionable insights. Key responsibilities include running controlled experiments across channels, building frameworks for Paid Search and Paid Social, developing statistical attribution models, and designing predictive lead scoring models. The ideal candidate has expertise in statistics and data manipulation, understands business contexts, and can manage projects independently.
Required Qualifications
- Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
- Ability to understand business context and translate data into actionable insights that guide decisions.
- Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
- Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
- Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
- Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
Desired Qualifications
- Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
- Experience building machine learning models from scratch, including creating custom optimisers.
- Knowledge of stochastic processes and related mathematical techniques.
- Experience working with Python, our primary programming language.
- Understanding of financial concepts such as deterministic cash flows.
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