Junior Data Scientist

Livescore9·Londonjunior

In short

→Analista de datos junior que construye modelos matemáticos para optimizar inversiones en marketing.
→Día a día: limpia datos, modela impacto de campañas, simula escenarios de presupuesto y comunica resultados a líderes.
→Destacado: Trabajas directamente en el pipeline de MMM, conectando modelos con decisiones de millones de libras.

No se requiere inglés explícitamente, pero se asume fluidez en entornos profesionales.

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What they ask for

✓Título o experiencia en campo altamente cuantitativo (econometría, estadística, matemáticas, ciencia de datos, etc.).
✓Dominio de Python para manipulación de datos (pandas, numpy) y modelado estadístico.
✓Habilidades de SQL para análisis de datos de usuarios y KPIs.
✓Capacidad para traducir modelos complejos en recomendaciones claras y visuales.
✓Experiencia o interés en modelos de mezcla de marketing (MMM) y pruebas de incrementabilidad.
✓Colaboración con equipos de ingeniería de datos para mejorar pipelines de entrada.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonRpandasnumpySQLMarketing Mix Modelling (MMM)incrementality testingGeoX testsattribution modelBayesian models

Who should you write to at Livescore9?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are looking for a brilliant and motivated Junior Data Scientist to join our Marketing Analytics team. In this role, you will help us measure, optimize, and supercharge our marketing investments across our core brands, with a strong focus on our mathematical and econometric modelling frameworks. You will have 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 our Marketing Mix Modelling (MMM) pipeline and helping us bridge the gap between statistical modelling, incrementality testing, and real-world multi-million-pound budget decisions. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! Key Responsibilities • Hands-on Marketing Mix Modelling (MMM): Play a key role in our end-to-end MMM pipeline. You will be responsible for gathering, cleaning, and structuring time-series marketing data (spend, impressions, external factors) and building/refining statistical models to measure the ROI of our channels. • Model Calibration & Triangulation: Help calibrate our MMM outputs using results from incrementality testing. You will actively use ground-truth experimental data (e.g., GeoX tests, attribution model). • Budget Scenario Planning: Translate model outputs into actionable simulation tools and optimization scenarios. You will help stakeholders answer critical "what-if" questions regarding budget reallocations and product splits. • User Data & Performance Analytics: Use SQL to deep-dive into first-party user data and tracking key KPIs. • Data Quality & Pipeline Ownership: Collaborate with our Data Engineering teams to automate data ingestion pipelines, ensuring high-quality, model-ready inputs from ad-platforms, attribution tools, and internal databases. • Stakeholder Communication: Translate complex econometric, Bayesian, or machine learning concepts into clear, commercial, and highly visual recommendations for marketing team leads and senior leadership. Skills, Knowledge and Experience • Proven experience or a degree in a highly quantitative field (e.g., Econometrics, Statistics, Mathematics, Data Science, Economics, or Engineering). • Python (or R) proficiency: Solid programming foundations for data manipulation (pandas, numpy), statistical modeling, and machine learning (we primarily use Python). </li

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