Marketing Data Scientist, London, England, United Kingdom

Marketing Data Scientist

New Yesterday

This range is provided by Dataworks. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Your Strategic Partner in Building World-Class Data & Tech Teams | Co-founder at Dataworks

Data Scientist

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

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

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Marketing
Industries
Marketing Services, Technology, Information and Media, and Data Infrastructure and Analytics

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