{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Lead / Principal Consultant (AI & Data Science)”, “description”: “
Overview
I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level.
This is a role for people who want to own and deliver real AI transformation, not just advise on it.
Where you fit
You'll sit within the Digital / AI Consulting practice, working directly with clients to:
- Identify opportunities for AI and advanced analytics
- Design and deliver solutions end‑to‑end
- Embed those solutions into real business operations
This is a hands‑on leadership role – combining delivery, client engagement, and mentorship of other consultants.
What you'll be doing
- Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.)
- Work directly with senior client stakeholders to shape and deliver solutions
- Build and deploy end‑to‑end AI products, not just prototypes
- Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems
- Translate technical outputs into clear commercial value and measurable impact
- Mentor and develop consultants, helping build capability across the team
- Help shape the consultancy's AI offering and go‑to‑market approach
Example work
- Using LLMs to improve decision‑making and workflow automation in complex environments
- Delivering predictive analytics in healthcare to improve outcomes and efficiency
- Building AI‑driven optimisation tools in retail to improve pricing and margins
- Supporting large‑scale programmes across defence and public infrastructure
Core requirements
- Strong data science / machine learning background
- Experience delivering AI / GenAI solutions (LLMs, NLP, etc.)
- Proven ability to take solutions from concept through to real‑world deployment
- Experience leading projects, workstreams, or teams
- Strong stakeholder engagement skills – client‑facing and commercially focused
- Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.)
Nice to have
- Consulting experience (highly preferred)
- Experience across regulated or complex sectors (defence, public sector, retail, etc.)
- Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.)
- Experience mentoring or leading junior team members
Why this role
- Shape and scale a growing AI consulting capability
- Work on complex, high‑impact projects across multiple industries
- Strong blend of technical delivery, commercial impact, and leadership
- High visibility internally and with clients
- Opportunity to progress to partner level over time
Working style
- London base (or nearest office)
- Hybrid working, with regular client travel
- 3 days total per week
- Flexible, project‑led environment
Interview process
- Online assessment (incl. logical / aptitude test)
- Informal first conversation (director‑level, including short presentation)
- Final stage onsite in London (presentation + discussion)
Company: Harnham
Location: London
Job Description:
Overview
I’m hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level.
This is a role for people who want to own and deliver real AI transformation, not just advise on it.
Where you fit
You’ll sit within the Digital / AI Consulting practice, working directly with clients to:
- Identify opportunities for AI and advanced analytics
- Design and deliver solutions end‑to‑end
- Embed those solutions into real business operations
This is a hands‑on leadership role – combining delivery, client engagement, and mentorship of other consultants.
What you’ll be doing
- Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.)
- Work directly with senior client stakeholders to shape and deliver solutions
- Build and deploy end‑to‑end AI products, not just prototypes
- Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems
- Translate technical outputs into clear commercial value and measurable impact
- Mentor and develop consultants, helping build capability across the team
- Help shape the consultancy’s AI offering and go‑to‑market approach
Example work
- Using LLMs to improve decision‑making and workflow automation in complex environments
- Delivering predictive analytics in healthcare to improve outcomes and efficiency
- Building AI‑driven optimisation tools in retail to improve pricing and margins
- Supporting large‑scale programmes across defence and public infrastructure
Core requirements
- Strong data science / machine learning background
- Experience delivering AI / GenAI solutions (LLMs, NLP, etc.)
- Proven ability to take solutions from concept through to real‑world deployment
- Experience leading projects, workstreams, or teams
- Strong stakeholder engagement skills – client‑facing and commercially focused
- Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.)
Nice to have
- Consulting experience (highly preferred)
- Experience across regulated or complex sectors (defence, public sector, retail, etc.)
- Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.)
- Experience mentoring or leading junior team members
Why this role
- Shape and scale a growing AI consulting capability
- Work on complex, high‑impact projects across multiple industries
- Strong blend of technical delivery, commercial impact, and leadership
- High visibility internally and with clients
- Opportunity to progress to partner level over time
Working style
- London base (or nearest office)
- Hybrid working, with regular client travel
- 3 days total per week
- Flexible, project‑led environment
Interview process
- Online assessment (incl. logical / aptitude test)
- Informal first conversation (director‑level, including short presentation)
- Final stage onsite in London (presentation + discussion)
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Posted: May 20th, 2026