Direct message the job poster from Cornucopia IT Resourcing
 Data Scientist – AI & NLP Innovation
 London (Hybrid)
 Our client is a dynamic investment firm using AI to reshape financial insight
 Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that is building an AI-driven future. You’ll help shape a growing data science function, working on high-impact projects in a collaborative, inclusive, and mission-driven environment.
 Why Join?
 Be part of a newly established, fast-growing AI team
 Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs)
 Help automate and modernise business processes across a respected financial organisation
 Flexible, inclusive culture with purpose-driven values around environmental and social responsibility
 What You'll Do:
 Build and deploy AI applications that improve efficiency and deliver business value
 Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data
 Work across departments to identify and deliver impactful AI use cases
 Evaluate emerging models and AI tools for real-world adoption
 Collaborate closely with the Head of Data Science to scale innovative solutions
 What You Bring:
 - 5+ years of hands-on experience in Python, ML, and NLP/LLMs
 - Familiarity with open-source LLMs (e.g., LLaMA, Mistral, Qwen) and RAG pipelines
 - Experience building APIs and interactive tools with FastAPI, Streamlit, or Gradio
 - Solid understanding of AI infrastructure, including GPUs and Docker
 - Comfortable working with unstructured data sources like PDFs, emails, and OCR
 - Proficient in Git, SQL, and handling a variety of data formats
 
 If you're excited by the opportunity to work on cutting-edge AI in a practical, purpose-led investment environment, we’d love to hear from you. 
Seniority level
 - Seniority levelNot Applicable
 
Employment type
 Job function
 - Job functionInformation Technology
 - IndustriesTechnology, Information and Media
 
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