Data Scientist AI & NLP Innovation

Cornucopia IT Resourcing · London, England · 5 days ago

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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

Not Applicable

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media

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