Data Scientist - Investment/PE - Harnham

The Opportunity

We’re partnering with a high-performing international investment firm that uses advanced data science and AI to support investment decisions, due diligence, and portfolio value creation. The business works closely with founders and leadership teams of fast-growing, tech-enabled companies and operates at the intersection of data, product, and commercial decision-making.

You’ll join a small, highly technical data team with strong visibility across the business, working on a mix of research, production ML, and short-cycle analytical projects.

This role would suit someone early in their career who has excellent academic foundations and has already worked hands-on with LLMs, NLP, or RAG-style systems in a lean team environment.

Role: Data Scientist

Working Pattern: 4 days per week in the London office (Mon–Thu)

Sponsorship: Not available

Salary: £65,000–£70,000 base + bonus

• 
  
• Building and experimenting with LLM-based and NLP solutions for real-world commercial use cases
  
• Taking projects end-to-end: research → prototyping → production deployment
  
• Writing clean, production-ready Python
  
• Working across multiple projects simultaneously (research, production models, short analytical sprints)
  
• Collaborating closely with data scientists, engineers, and non-technical stakeholders
  

Experience

• 
  
• 1–3 years’ experience in data science, ML, or applied AI
  
• Hands-on exposure to LLMs, NLP, or language analysis (commercial or project-based)
  
• Experience working in small teams with real ownership
  

Technical Skills (Must-Have)

• 
  
• Strong Python
  
• Solid grounding in classical data science & ML fundamentals
  
• End-to-end project delivery experience
  
• Familiarity with LLMs (RAG, agents, or applied use cases)
  
• Cloud experience (GCP preferred, AWS/Azure also fine)
  

Nice to Have

• 
  
• Transformers / Hugging Face
  
• Agentic or orchestration frameworks
  
• BigQuery, Snowflake, or data lake environments
  
• Full-stack capability (very attractive but not required)
  

• 
  
• STEM degree (BSc or MSc strongly preferred)
  
• Strong academics valued alongside hands-on experience
  
• No specific industry background required (product, tech, or FS all welcome)
  

• 
  
• Competitive base salary + bonus
  
• Strong benefits package (pension, private healthcare, holiday)
  
• High autonomy and technical ownership
  
• Exposure to genuinely interesting, non-cookie-cutter AI problems
  
• Small, high-calibre team with excellent learning opportunities
  

Apply below!