Data Scientist

Title

Data Scientist / AI Engineer

Location:

UK London / Bristol

Clearance: BPSS eligible (required prior to engagement start)

Working Model:
Onsite 1-2 days per week

Day Rate:
Inside IR35

A leading UK financial institution is seeking two experienced Data Scientists (or AI Engineers) to design, build and deliver advanced AI and analytics solutions. These roles sit at the intersection of data science, engineering and strategic problem-solving, supporting high-impact initiatives across the organisation. Successful candidates will be hands‑on technical leaders with strong communication skills and the ability to guide both clients and junior team members.

• Lead end‑to‑end AI, advanced analytics and automation projects from discovery through to production deployment.
• Translate complex data into clear insights and strategic recommendations for senior stakeholders.
• Work collaboratively with multidisciplinary teams including engineers, consultants and business leaders.
• Design, develop and implement machine learning models, statistical methods and AI solutions tailored to business needs.
• Support business development activities such as solution design, proposal input and client presentations.
• Mentor junior data scientists and analysts, contributing to capability development.
• Maintain awareness of emerging AI/ML technologies, tools and methodologies.

• AI Project Lifecycle:
  Proven experience delivering full‑lifecycle AI projects, from research and prototyping to production deployment. Strong communication and stakeholder management.
• Advanced Analytics:
  Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as Tensor Flow, PyTorch, Keras or Hugging Face.
• NLP & ML:
  Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.
• AI Solution Development:
  Experience architecting and delivering AI solutions using modern tooling, including generative AI assistants such as Git Hub Copilot or Amazon Code Whisperer.
• Cloud & Data Platforms:
  Familiarity with cloud environments (AWS, Azure, GCP) and experience with relational and No
  
  SQL databases (SQL, Postgres, DB2, Mongo
  
  DB).

• Expertise in one or more specialised areas such as NLP, image processing, video processing, voice processing or Watson technologies.
• Familiarity with modern UI frameworks (e.g., Backbone.js, Angular
  
  JS, React.js, Ember.js, Bootstrap, JQuery) to support integration of AI solutions.
• Experience working across multiple operating systems (Linux, Windows, iOS, Android).
• PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field

Please send me a copy of your CV if you're interested.