Infinity Quest
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, LLMs, and experience in financial markets. Familiarity with cloud platforms and MLOps is desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Azure #Databases #Libraries #GCP (Google Cloud Platform) #Python #ML (Machine Learning) #Deployment #Hugging Face #AWS (Amazon Web Services) #Cloud #Langchain #Model Deployment #Data Science #Consulting
Role description
• Proven commercial experience delivering Data Science and Machine Learning solutions
• Hands-on experience with LLMs and GenAI tooling (e.g. OpenAI / Azure OpenAI, Hugging Face, LangChain, LlamaIndex)
• Practical experience building RAG architectures, embeddings, and vector-based retrieval
• Strong Python skills and familiarity with standard DS/ML libraries
• Experience delivering work in project-based or consulting environments
• Ability to operate independently against agreed deliverables
Desirable Experience
• Exposure to trading, financial markets, or risk/analytics environments
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with MLOps and model deployment practices
• Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)
• Proven commercial experience delivering Data Science and Machine Learning solutions
• Hands-on experience with LLMs and GenAI tooling (e.g. OpenAI / Azure OpenAI, Hugging Face, LangChain, LlamaIndex)
• Practical experience building RAG architectures, embeddings, and vector-based retrieval
• Strong Python skills and familiarity with standard DS/ML libraries
• Experience delivering work in project-based or consulting environments
• Ability to operate independently against agreed deliverables
Desirable Experience
• Exposure to trading, financial markets, or risk/analytics environments
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with MLOps and model deployment practices
• Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)
