Data Scientist - Marketing Analytics

Data Scientist Location: London (Hybrid – 2 days/week in-office) £55-60K base + Bonus & Benefits An exciting opportunity for a commercially-minded Data Scientist to join a global leader in the digital entertainment and consumer technology space. This is a hands-on role within a central Data & AI function, focused on applying statistical modelling and experimentation to solve business challenges across marketing and customer analytics. About the Company: This well-established media tech-driven company operates across multiple regions and reaches millions of users worldwide. With a strong data culture and a growing analytics function, they are investing in smarter decision-making powered by data science and AI. The environment is fast-paced, product-led, and driven by innovation. About the Role: You’ll work on high-impact projects, building statistical models, experimentation frameworks, and marketing effectiveness tools. From marketing mix modelling to A/B testing, your work will directly support cross-functional teams in making informed, data-driven decisions. You’ll collaborate with engineers, analysts, and business stakeholders to develop scalable solutions and translate insights into real-world impact. Key Responsibilities: Build and implement statistical models for customer and marketing analytics Design A/B tests and incrementality frameworks to measure business impact Develop and maintain marketing mix models to evaluate campaign performance Work with large datasets using Python and SQL Communicate insights clearly to non-technical stakeholders Collaborate with technical teams to bring models into production Continuously improve model performance and business integration Working in a global team with a focus on GenAI / LLMs.

Skills & Experience Required: Must-have: 2–4 years of hands-on experience in a Data Science or Analytics role Strong foundation in statistics, hypothesis testing, regression, and experimental design Proficiency in Python (pandas, numpy, statsmodels, scikit-learn) SQL experience for data wrangling and analysis Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have no secrets for you Strong communication and stakeholder engagement skills