Data Scientist
This is a hands-on data science role that will work within our Data & AI function. You will apply advanced econometric modelling and performance marketing expertise to optimise customer acquisition, retention, and revenue growth across our brands. Working closely with our central performance marketing teams, you will develop sophisticated analytical models that drive marketing effectiveness and business performance. A key aspect of this role involves codifying your analytical expertise into AI agents and automated systems, working with our AIOps engineering teams to productionise and scale analytical capabilities beyond traditional manual analysis. By leveraging your deep understanding of marketing data, statistical methods, and emerging AI technologies, you'll enable data-driven marketing strategies that maximise ROI and competitive advantage.
- Develop and maintain econometric models to measure marketing effectiveness, attribution, and incrementality across multiple channels and touchpoints.
- Design and execute controlled experiments (A/B tests, geo-experiments) to validate marketing strategies and optimise campaign performance.
- Build predictive models for customer lifetime value, churn prediction, and acquisition cost optimisation.
- Analyse complex marketing datasets from multiple vendors and platforms to extract actionable insights.
- Collaborate with central performance marketing teams to translate business questions into analytical frameworks and statistical models.
- Develop AI agents and automated analytical workflows that codify marketing analysis expertise and scale insights generation.
- Work with AIOps engineering teams to productionise analytical models and AI agents into scalable, automated systems.
- Partner with software engineers to integrate GenAI capabilities into marketing analysis workflows and decision-making processes.
- Work with data engineers to ensure marketing data quality and implement scalable data processing pipelines.
- Develop marketing mix modelling and multi-touch attribution solutions to guide budget allocation decisions.
- Create automated reporting and dashboards that provide real-time insights into marketing performance.
- Document methodologies, assumptions, and findings to ensure reproducibility and knowledge sharing across teams.
- Bachelor's degree in Economics, Statistics, Mathematics, Data Science, or related field, or equivalent practical experience (required).
- Demonstrable hands-on experience in data science roles with focus on marketing analytics or econometrics (required).
- Strong proficiency in Python and SQL for data analysis and modelling (required).
- Deep understanding of econometric and statistical modelling methodologies (required).
- Experience with developing marketing mix modelling (MMM) and multi-touch attribution solutions to guide budget allocation decisions (required).
- Experience with optimisation frameworks for marketing performance and budget allocation (required).
- Hands-on experience working with Google Analytics data and other marketing platforms (required).
- Experience with marketing mix modelling, incrementality testing, and causal inference methods (required).
- Familiarity with marketing data sources and platforms (Facebook Ads, programmatic platforms, etc.) (required).
- Strong knowledge of experimental design and statistical modelling techniques including regression analysis and time series analysis (required).
- Experience working with large, complex datasets from multiple marketing vendors and sources (required).
- Understanding of marketing concepts including customer acquisition costs, lifetime value, and ROAS (required).
- Excellent analytical and problem-solving skills with attention to detail (required).
- Strong communication skills with ability to present complex findings to non-technical stakeholders (required).
- Experience with GenAI, LLMs, or AI agent development for analytical applications (preferred).
- Understanding of how to codify analytical expertise into automated systems and workflows (preferred).
- Agency experience or client-side performance marketing background (preferred).
- Experience in the gambling/gaming sector or similar regulated industries (nice-to-have).
- Familiarity with marketing automation platforms and customer data platforms (nice-to-have).
- Knowledge of Bayesian methods and advanced statistical techniques (nice-to-have).
- Experience with data visualisation tools (Tableau, PowerBI, or similar) (nice-to-have).
- Understanding of privacy regulations and their impact on marketing measurement (nice-to-have).
- Experience with cloud platforms and big data technologies (nice-to-have).
- Knowledge of marketing technology stack and data integration challenges (nice-to-have).
- 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.
Entain is one of the world's largest sports betting and gaming entertainment groups and a FTSE 100 company. Formed when GVC Holdings rebranded as Entain in December 2020, its brands trace their history back to the 1880s and include bwin, Coral, Foxy, Gala, Ladbrokes and partypoker. Through its joint venture with MGM Resorts International, it powers BetMGM in the United States with its proprietary technology. Headquartered in London, Entain employs over 30,000 people with offices across 19 countries.