Career Moves Group

Data Scientist III

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist III in London, UK, for 12 months at £41.35 per hour. Requires proficiency in Python, R, SQL, and strong statistical modeling skills. A degree in a related field is mandatory.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Data Analysis #Python #SQL (Structured Query Language) #R #Datasets #Mathematics #Computer Science #Programming #Data Science #Visualization #Statistics #Data Integrity #ML (Machine Learning) #Compliance
Role description
Data Scientist III Location: London, UK Length: 12 months Duration: 02/02/2026 - 01/02/2027 Rate: £41.35 per hour (Inside IR35) Hours: 40 hours per week Job Description: About the Role The client is seeking a skilled Data Scientist for a temporary assignment based in London, UK. This is a contingent worker position, not a full-time employment opportunity. The successful candidate will support Client’s data-driven initiatives, working collaboratively with cross-functional teams to deliver actionable insights and drive business impact. Responsibilities - Analyse large, complex datasets to identify trends, patterns, and opportunities for Client’s products and business operations. - Develop and implement statistical models and machine learning algorithms to solve business problems. - Communicate findings and recommendations to stakeholders in a clear and concise manner. - Collaborate with engineering, product, and business teams to design and execute data-driven strategies. - Ensure data integrity, privacy, and compliance with Client’s internal policies and applicable regulations. Minimum Requirements - Proven experience as a Data Scientist or in a similar analytical role. - Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). - Strong understanding of statistical modelling, machine learning, and data visualization techniques. - Excellent problem-solving skills and attention to detail. - Ability to communicate complex technical concepts to non-technical audiences. - Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field.