Data Scientist

Data Scientist

Location: London (Hybrid – 2 days/week in-office)

£55-65K 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