E-Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist contract in London, UK, with a pay rate of "unknown". Requires strong machine learning skills, proficiency in Python and libraries like TensorFlow and PyTorch, and experience with RAG systems. OOP knowledge is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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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 Area, United Kingdom
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🧠 - Skills detailed
#Python #Libraries #Programming #Data Science #Visualization #PyTorch #TensorFlow #Pandas #ML (Machine Learning)
Role description
Role: Data Scientist
Location: London, UK
Type: Contract (Inside IR35)
Job Description:
• Strong foundation in classical machine learning, including model development, evaluation, and optimization.
• Demonstrated expertise in Python and core data science/ML libraries such as TensorFlow, PyTorch, scikit-learn, and pandas, with the ability to produce clear visualizations and craft compelling, data-driven narratives.
• Solid understanding of object-oriented programming (OOP) principles in Python.
• If lacking experience with Retrieval-Augmented Generation (RAG), must demonstrate exceptional depth in machine learning to compensate.
• Hands-on experience building or deploying RAG systems.
Role: Data Scientist
Location: London, UK
Type: Contract (Inside IR35)
Job Description:
• Strong foundation in classical machine learning, including model development, evaluation, and optimization.
• Demonstrated expertise in Python and core data science/ML libraries such as TensorFlow, PyTorch, scikit-learn, and pandas, with the ability to produce clear visualizations and craft compelling, data-driven narratives.
• Solid understanding of object-oriented programming (OOP) principles in Python.
• If lacking experience with Retrieval-Augmented Generation (RAG), must demonstrate exceptional depth in machine learning to compensate.
• Hands-on experience building or deploying RAG systems.
