

Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in London (hybrid) for 6 months at £600 - £650 per day. Key skills include Python, machine learning, and experience in financial services. Azure and Snowflake knowledge is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
650
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🗓️ - Date discovered
July 22, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Analysis #Model Evaluation #AWS (Amazon Web Services) #Data Science #Forecasting #Pandas #Programming #Python #GCP (Google Cloud Platform) #Snowflake #ML (Machine Learning) #Azure #AI (Artificial Intelligence) #Cloud
Role description
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Senior Data Scientist
London - Hybrid
6 months
£600 - £650 a day outside IR35
We have an urgent requirement for a Senior Data Scientist to help our client grow and develop their data science capability. The role will be spearheading the development of advanced Analytics through data science and artificial intelligence / machine learning techniques.
You will be responsible for....
• Proactively navigating and pinpointing areas within the organisation where advanced Analytics can provide insights or streamline operations-
• Executing all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.
• Developing and delivering advanced machine learning, analytical and optimization techniques to solve business problems.
• Using and developing algorithms to deliver new optimizations and tests.
• You’ll champion and promote the use of advanced Analytics and reporting capabilities across the business.
• You’ll apply data science and machine learning methods for forecasting and streamlining processes
• Analysing data, draw meaningful conclusions, and develop solutions to help drive profitability and/or growth.
Experience Required
• Significant Data Scientist experience with comprehensive knowledge of Generative AI, machine learning techniques and statistical modelling gained
• Strong Programming experience with Python data science tools Pandas, Scikit-Learn etc)
• Prior experience of building document ingestion applications
• Snowflake (desirable) or demonstrable knowledge in other Cloud based database technologies (e.g., AWS, Azure, GCP) and their data-related services.
• Azure experience highly desired
• Strong stakeholder management skills
• Experience of the financial services and/or insurance industry highly desired
• Ability to navigate and pinpoint areas within the organization where Analytics can provide insights or streamline operations
• Excellent problem-solving skills and a passion for driving innovation through data.
Please apply now for more information