Junior Data Scientist
The Marketing Analytics team is looking for a brilliant and motivated Junior Data Scientist. In this role, you will help measure, optimise, and supercharge marketing investments across core brands, with a strong focus on mathematical and econometric modelling frameworks.
This role offers a unique opportunity to develop a dual profile: a rigorous data scientist who can manipulate complex datasets and build advanced models, and a strategic partner who translates those insights into clear growth strategies. You will step into a key position, taking hands-on ownership of the Marketing Mix Modelling (MMM) pipeline and helping to bridge the gap between statistical modelling, incrementality testing, and real-world multi-million-pound budget decisions.
- Play a key role in the end-to-end Marketing Mix Modelling (MMM) pipeline, including gathering, cleaning, and structuring time-series marketing data (spend, impressions, external factors) and building or refining statistical models to measure the ROI of channels.
- Help calibrate MMM outputs using results from incrementality testing. You will actively use ground-truth experimental data (e.g., GeoX tests, attribution model).
- Translate model outputs into actionable simulation tools and optimisation scenarios. You will help stakeholders answer critical "what-if" questions regarding budget reallocations and product splits.
- Use SQL to deep-dive into first-party user data and track key KPIs.
- Collaborate with Data Engineering teams to automate data ingestion pipelines, ensuring high-quality, model-ready inputs from ad-platforms, attribution tools, and internal databases.
- Translate complex econometric, Bayesian, or machine learning concepts into clear, commercial, and highly visual recommendations for marketing team leads and senior leadership.
- Proven experience or a degree in a highly quantitative field (e.g., Econometrics, Statistics, Mathematics, Data Science, Economics, or Engineering) (required).
- Python (or R) proficiency: Solid programming foundations for data manipulation (pandas, numpy), statistical modelling, and machine learning (we primarily use Python) (required).
- Strong SQL skills: Comfortable writing efficient, structured queries to extract and aggregate massive datasets from relational databases (required).
- Exposure to or strong interest in modern open-source MMM libraries (e.g., Meta's Robyn, Google's Meridian, or PyMC/Bayesian workflows) (nice-to-have).
- Solid foundation in econometrics, time-series analysis, and regression modelling (OLS, Ridge/Lasso, Bayesian regression) (required).
- Good understanding of testing and experimentation methodologies (A/B testing, GeoX testing, hypothesis testing, and statistics like MDE and bias analysis) (required).
- A keen interest in marketing dynamics (customer acquisition, CAC, CPA, ROI, and media attribution) (required).
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay.
- Paternity leave: up to 4 weeks at full pay
- Subsidised Gym Membership
- Annual Travel Card Loan & Ride to Work Scheme
- Life Assurance (x3 salary)
- Contributory Pension Plan
- Virgin Family: Giving you access to exclusive Virgin offers and experiences
- Thursday drinks in the office and regular socials
LiveScore Group is a sports media and betting company, home to the LiveScore, LiveScore Bet and Virgin Bet brands. Its flagship LiveScore product delivers real-time scores and free live streams to a large global audience, while LiveScore Bet and Virgin Bet provide online sports betting and gaming. Headquartered in London, the privately owned group operates internationally, with offices in Stoke, Galway, Vienna, Gibraltar, Lagos, Malta and Cape Town. It combines media reach with regulated betting products across the UK and other markets.