Data Scientist
2 weeks ago
Data Scientist - Marketing/Customer Analytics
Reading – Hybrid (3x per week in office)
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 proven track record of delivering impactful projects.
- Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms.
- Proficiency in Python (Pandas), SQL, and data analytics tools.
- Experience deploying and evaluating ML models in production environments.
- Ability to interpret complex datasets, drawing meaningful insights to drive business decisions.
- Strong communication skills, with experience in managing client relationships.
- A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master's or PhD is a plus).
- Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential.
If this role looks of interest, please reach out to Joseph Gregory.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Analyst, Science, and Engineering
Industries: Marketing Services and IT Services and IT Consulting
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