At a Glance
- Tasks: Apply statistical modelling to solve marketing challenges and drive data-driven decisions.
- Company: Join a global leader in digital entertainment and consumer technology.
- Benefits: Competitive salary, bonus, hybrid work, and a vibrant team culture.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Make a real impact on marketing strategies using cutting-edge data science techniques.
- Qualifications: 2-4 years in Data Science, strong stats foundation, and Python proficiency.
The predicted salary is between 55000 - 60000 £ per year.
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:
- 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
Data Scientist - Marketing Analytics in London employer: Dataworks
Join a dynamic and innovative company at the forefront of digital entertainment and consumer technology, where your contributions as a Data Scientist will directly influence marketing strategies and customer engagement. With a strong emphasis on professional development, a collaborative work culture, and the opportunity to work in a hybrid model from London, this role offers not just competitive compensation but also a chance to be part of a forward-thinking team that values data-driven decision-making and continuous improvement.
