Principal Data Scientist; Consultancy
Listed on 2026-02-16
-
IT/Tech
Data Analyst, Data Science Manager
1 week ago Be among the first 25 applicants
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Leading Analytics & AI growth across Harnham's largest clients | The Talent Driving The Data & AI RevolutionPrincipal Data Scientist
Salary:
Up to £100k with a competitive bonus.
Location: UK based, 3 days a week on client site
This role is a great opportunity to work at a dynamic consultancy rooted in the UK, this firm partners closely with public agencies, retailers, transport providers, housing associations, energy companies, and healthcare systems to solve complex problems.
Shape the future of data science and AI — lead transformative projects with real-world impact. We're looking for a Principal Data Scientist to drive advanced solutions in machine learning, AI, and data analytics across diverse industries.
Key Responsibilities
- Lead complex data science and AI initiatives from concept to deployment.
- Develop advanced models using machine learning, optimisation, and simulation techniques.
- Mentor and guide a team of data scientists, driving technical excellence.
- Collaborate with clients to define problems and deliver measurable impact.
- Stay hands-on with Python and modern data science tools (pandas, scikit-learn, etc.).
Requirements
- Proven experience leading end-to-end data science projects.
- Expertise in machine learning, statistical modelling, and optimisation.
- Ability to communicate complex ideas to both technical and non-technical stakeholders.
- Leadership experience or a desire to mentor and guide teams.
- Ability to link work to commercial/performance outcomes.
Why Apply?
- Meaningful work that creates real-world change.
- Flexible working options and a supportive team culture.
- Growth opportunities with fast-tracked career progression.
Ready to lead innovative data-driven solutions? Apply today!
Seniority level- Seniority level
Mid-Senior level
- Employment type
Full-time
- Job function Consulting
- Industries
IT Services and IT Consulting and Data Infrastructure and Analytics
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