Data Scientist - Harnham

Data Scientist (Mid-Level) – London (Bond Street); 4 days a week in office (Mon–Thu). Up to £65,000 + 10% bonus.

We’re partnering with a high-performing international investment firm that works closely with ambitious, high-growth businesses to help them scale sustainably and create long-term value. Operating across Europe, the US, and Asia, this organisation combines deep investment expertise with modern technology to make smarter, faster decisions across sourcing, diligence, and portfolio management.
Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior decision-making.

They’re now hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. This role sits at the intersection of research, production ML, and high-impact short-form analysis, offering exposure to multiple projects rather than a single narrow product.

You’ll work hands-on with Python and cloud-based ML systems, contributing across the full data science lifecycle — from early experimentation and proof-of-concept work through to deployment and iteration in production. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills.
This is a great opportunity for a generalist data scientist who wants ownership, variety, and exposure to LLM use cases in a commercial environment.

• 
  
• Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making
  
• Apply NLP and language analysis techniques to large, unstructured datasets
  
• Build, test, and iterate on machine learning models using strong classical data science foundations
  
• Support the productionisation and deployment of models in a cloud environment
  
• Contribute to short, high-impact analytical projects supporting deal sourcing and due diligence
  
• Work across multiple projects and products simultaneously, balancing research and delivery
  
• Collaborate closely with other data scientists, engineers, and non-technical stakeholders
  
• Take ownership of components of the data science stack, from experimentation through to live usage
  

• 
  
• Around 3 years’ experience in a hands-on data science role
  
• Strong Python skills and good software engineering fundamentals
  
• Solid understanding of classical data science and machine learning techniques
  
• Experience delivering data science projects end-to-end, from proof of concept to production
  
• Familiarity with NLP and/or large language models
  
• Cloud experience (GCP preferred; AWS or Azure also acceptable)
  
• Comfortable working autonomously across multiple projects
  
• Strong communication skills and a collaborative mindset
  
• Experience with Transformers, Hugging Face, or modern NLP tooling
  
• Exposure to agentic or LLM-based frameworks
  
• Experience building simple front ends or dashboards (e.g. Streamlit)
  
• Background in product-led or financial services environments
  

Please note: This role cannot offer VISA sponsorship.