

PRIMUS Global Solutions (PRIMUS UK & Europe)
Data Scientist – Contract (3 Days/Week), Hybrid – Canary Wharf
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis, 3 days a week, hybrid in Canary Wharf. Key skills include classical machine learning, Python, TensorFlow, PyTorch, and data visualization. Experience with RAG is beneficial but not required.
🌎 - 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
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Storytelling #Pandas #Databases #Programming #Data Science #Visualization #PyTorch #TensorFlow #Libraries #NLP (Natural Language Processing) #ML (Machine Learning)
Role description
Job Title: Data Scientist – Contract (3 Days/Week), Hybrid – Canary Wharf
Location: Canary Wharf (Hybrid)
Engagement: Contract
Working Model: 3 days a week (Hybrid)
Job Description
We are looking for an experienced Data Scientist to join on a contract basis, working 3 days a week in a hybrid setup in Canary Wharf. The ideal candidate must have a strong background in classical machine learning, deep expertise in Python, and solid experience with leading data science and machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and pandas. Strong data visualization and storytelling capabilities are essential.
Responsibilities
• Develop, optimise, and deploy classical machine learning models.
• Write robust Python code following object-oriented programming (OOP) principles.
• Work extensively with TensorFlow, PyTorch, scikit-learn, pandas, and other ML libraries.
• Produce clear data visualizations and deliver insightful storytelling presentations.
• Partner with technical and non-technical teams to deliver measurable data science outcomes.
• If not experienced in RAG (Retrieval-Augmented Generation), apply deeper ML expertise for LLM/NLP tasks.
• Support model tuning, validation, and production workflows.
Must-Haves
• Strong foundation in classical machine learning (repeat: classical machine learning).
• Proven experience in Python (repeat: Python, Python).
• Hands-on experience with major data science and machine learning tools:
• TensorFlow
• PyTorch
• scikit-learn
• pandas
• Ability to build clear, compelling data visualizations and deliver strong storytelling.
• Solid understanding of OOP in Python.
• If lacking RAG (Retrieval-Augmented Generation) experience, must compensate with strong machine learning depth.
Nice-to-Haves
• Practical hands-on experience with RAG (Retrieval-Augmented Generation).
• Familiarity with LLMs, embeddings, vector databases, and NLP systems.
Contract Data Scientist, 3 days a week, Canary Wharf, Hybrid, Data Scientist Contract, classical machine learning, machine learning, ML, Python, TensorFlow, PyTorch, scikit-learn, pandas, RAG, Retrieval-Augmented Generation, OOP Python, data visualization, storytelling, ML libraries, Data Science Contract
Job Title: Data Scientist – Contract (3 Days/Week), Hybrid – Canary Wharf
Location: Canary Wharf (Hybrid)
Engagement: Contract
Working Model: 3 days a week (Hybrid)
Job Description
We are looking for an experienced Data Scientist to join on a contract basis, working 3 days a week in a hybrid setup in Canary Wharf. The ideal candidate must have a strong background in classical machine learning, deep expertise in Python, and solid experience with leading data science and machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and pandas. Strong data visualization and storytelling capabilities are essential.
Responsibilities
• Develop, optimise, and deploy classical machine learning models.
• Write robust Python code following object-oriented programming (OOP) principles.
• Work extensively with TensorFlow, PyTorch, scikit-learn, pandas, and other ML libraries.
• Produce clear data visualizations and deliver insightful storytelling presentations.
• Partner with technical and non-technical teams to deliver measurable data science outcomes.
• If not experienced in RAG (Retrieval-Augmented Generation), apply deeper ML expertise for LLM/NLP tasks.
• Support model tuning, validation, and production workflows.
Must-Haves
• Strong foundation in classical machine learning (repeat: classical machine learning).
• Proven experience in Python (repeat: Python, Python).
• Hands-on experience with major data science and machine learning tools:
• TensorFlow
• PyTorch
• scikit-learn
• pandas
• Ability to build clear, compelling data visualizations and deliver strong storytelling.
• Solid understanding of OOP in Python.
• If lacking RAG (Retrieval-Augmented Generation) experience, must compensate with strong machine learning depth.
Nice-to-Haves
• Practical hands-on experience with RAG (Retrieval-Augmented Generation).
• Familiarity with LLMs, embeddings, vector databases, and NLP systems.
Contract Data Scientist, 3 days a week, Canary Wharf, Hybrid, Data Scientist Contract, classical machine learning, machine learning, ML, Python, TensorFlow, PyTorch, scikit-learn, pandas, RAG, Retrieval-Augmented Generation, OOP Python, data visualization, storytelling, ML libraries, Data Science Contract






