Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 5+ years of experience, specializing in marketing modelling, for a 12-month contract at £70,000. Key skills include Snowflake, SQL, Python, and R, with a preference for retail or luxury retail experience. Hybrid location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
318.1818181818
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #R #Snowflake #Python #SQL (Structured Query Language) #Data Science
Role description
About the job Our client is a leading global company specialising in premium lifestyle products across various categories, including apparel, accessories, and home. They are currently seeking an experienced Data Scientist with specific marketing modelling to join their team. Responsibilities: • Leverage econometric and MMM methodologies to assess marketing effectiveness and provide strategic recommendations • Oversee data collection, including extraction, manipulation, analysis, and validation, ensuring proper use of KPIs in modelling. • Build models to analyse operations and drive actionable insights. • Utilise Excel, SQL, and Python to process, transform, and create models, while presenting findings to stakeholders at all levels. Requirements: • 5+ years of experience in Data Science, with expertise in Snowflake, SQL, Python, and R. • Demonstrable MTA/MMM modelling experience. • Strong understanding of customer journeys from a quantitative perspective and experience in Data Science. • Proven ability to translate complex analytics into actionable insights, with experience in retail or luxury retail preferred. • Advanced degree in a quantitative field, with the ability to manage multiple stakeholders in a fast-paced environment. Details: • Duration: 12 months, with opportunity to extend. • Salary: £70,000 • Start Date: ASAP • Hybrid working