Senior Data Scientist
- Partner with stakeholders to identify high-impact retention and marketing opportunities, translate business questions into analytical problem statements, and define success metrics.
- Own end-to-end delivery of data science solutions from discovery and prototyping through to production deployment, monitoring, and iteration.
- Develop and deploy predictive models and decisioning tools (e.g., churn/retention, propensity, lifetime value, next-best-action, offer targeting) that are integrated into live customer journeys and operational processes.
- Design, implement, and analyse experiments (A/B and multivariate testing), ensuring robust statistical methodology, appropriate guardrails, and clear interpretation and presentation of results to stakeholders.
- Build incrementality and causal measurement frameworks to quantify the true impact of interventions and business changes on key KPIs (e.g., retention, engagement, NGR), and guide promotional and marketing policy decisions.
- Lead feature engineering and data preparation using Python, SQL, and the analytics stack (Snowflake/AWS), producing reliable, reusable datasets and features for modelling and experimentation.
- Establish model evaluation and monitoring practices (performance, drift, calibration, bias/segmentation checks), and refine models based on feedback and observed outcomes.
- Communicate insights and recommendations clearly to technical and non-technical audiences, translating analyses into practical actions and trade-offs.
- Proficient in the application of data science concepts to commercial problems
- Strong data science, predictive modelling, Machine Learning and AI understanding and experience
- Strong skills in SQL, Python, Git
- Experience in working with vast amounts of data to detect trends and patterns
- Proficient in translating business needs into technical data science requirements
- Strong understanding of A/B testing techniques
- Pragmatic thinking & high degree of attention to detail
- Good understanding of the end to end Machine Learning (ML) environment
- Ability to form arguments and communicate incredibly technical topics in ways that land the point
- Generous group bonus scheme
- Hybrid working - 2 days in the office
- Private medical insurance
- Pension scheme – matched to 6%
- Ability to buy and sell holiday
- Free subscription to wellbeing app Unmind
- Additional “It’s Your Game” day off to use at either Christmas or New Year
- Entain & Enhance days – 2 paid days off to focus on your professional or personal development
- Share save scheme
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