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Job summary
A leading research and insights company is seeking a Data Scientist in Reading to focus on data-driven decision-making in marketing analytics. The role involves developing machine learning models, managing client relationships, and collaborating with a global team. Candidates should have strong expertise in Python and SQL, along with a relevant degree. Benefits include a competitive salary and hybrid working arrangements.
Qualifications
- Experience in Data Science with impactful projects.
- Strong statistical and machine learning expertise.
- Ability to interpret complex datasets.
Responsibilities
- Lead the development of solutions for complex client challenges.
- Develop and deploy ML models in production environments.
- Independently manage client relationships.
Skills
Education
Tools
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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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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