Data Scientist
Posted a day ago
- London, Greater London
- Any
- External
- Expires In 3 months
Job Description Data Scientist - Marketing/Customer Analytics
London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours)
Up to £60,000 + Benefits
About the Role
A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients.
Key Responsibilities
Lead the development of solutions for complex client challenges, defining clear success criteria.
Support and mentor junior team members, fostering a collaborative environment.
Independently manage client relationships and project expectations.
Develop and deploy ML models, applying innovative approaches beyond basic feature engineering.
Use Python, SQL, and Tableau for reporting and analysis within an AWS environment.
Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India.
What We’re Looking For
Experience in Data Science, with a p...
London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours)
Up to £60,000 + Benefits
About the Role
A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients.
Key Responsibilities
Lead the development of solutions for complex client challenges, defining clear success criteria.
Support and mentor junior team members, fostering a collaborative environment.
Independently manage client relationships and project expectations.
Develop and deploy ML models, applying innovative approaches beyond basic feature engineering.
Use Python, SQL, and Tableau for reporting and analysis within an AWS environment.
Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India.
What We’re Looking For
Experience in Data Science, with a p...