Data Science Manager
Location:
Central London 2x (Hybrid) Salary:
£45,000 – 65,000
Our client is an international market research consultancy, specialising in insights and strategy. They do fascinating strategic work, helping clients understand complex social, cultural, and economic dynamics and how these affect their consumers. Their work spans innovation and brand strategy, behavioural science, and analytics. About the Role As a Data Scientist, you will: Develop and execute advanced data science techniques to solve real-world problems. Present data-driven insights to non-technical audiences clearly and effectively. Lead analytics projects and align solutions with business challenges. Mentor junior team members and contribute to the development of methodologies. Research and explore new opportunities for data science applications. What You’ll Need Experience:
3-5 years in data analysis, particularly in market research or survey data. Technical Skills:
Proficiency in R or Python, conjoint analysis (e.g., Sawtooth), segmentation techniques, clustering, and regression. Communication:
Ability to translate complex concepts into simple, clear insights. Leadership:
Experience managing projects and supporting team growth. Bonus Skills (Nice-to-Haves) Familiarity with Bayesian methods, machine learning, or text analytics. Experience with survey analytics, such as MaxDiff or Key Drivers Analysis. Knowledge of organisational or financial analytics. VBA programming and Excel-based simulator development.
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Central London 2x (Hybrid) Salary:
£45,000 – 65,000
Our client is an international market research consultancy, specialising in insights and strategy. They do fascinating strategic work, helping clients understand complex social, cultural, and economic dynamics and how these affect their consumers. Their work spans innovation and brand strategy, behavioural science, and analytics. About the Role As a Data Scientist, you will: Develop and execute advanced data science techniques to solve real-world problems. Present data-driven insights to non-technical audiences clearly and effectively. Lead analytics projects and align solutions with business challenges. Mentor junior team members and contribute to the development of methodologies. Research and explore new opportunities for data science applications. What You’ll Need Experience:
3-5 years in data analysis, particularly in market research or survey data. Technical Skills:
Proficiency in R or Python, conjoint analysis (e.g., Sawtooth), segmentation techniques, clustering, and regression. Communication:
Ability to translate complex concepts into simple, clear insights. Leadership:
Experience managing projects and supporting team growth. Bonus Skills (Nice-to-Haves) Familiarity with Bayesian methods, machine learning, or text analytics. Experience with survey analytics, such as MaxDiff or Key Drivers Analysis. Knowledge of organisational or financial analytics. VBA programming and Excel-based simulator development.
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