Principal Data Scientist
Quick Summary
Defining and owning the long-term technical vision for the practice, setting standards that raise the bar across the entire organisation. Architecting and overseeing the delivery of flagship,
Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.
#LI-PRIO
About the Role
~1 min readAs a Principal Data Scientist, you'll serve as a recognised authority and strategic force across the organisation, shaping not just how we deliver but how we evolve. You will define our technical vision at the highest level, influence organisation-wide strategy, and take ultimate ownership of our most critical, complex, and commercially significant programmes. This position goes beyond project delivery — you are a multiplier of capability, a trusted partner to senior leadership, and a key driver of long-term competitive differentiation.
Responsibilities
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Defining and owning the long-term technical vision for the practice, setting standards that raise the bar across the entire organisation.
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Architecting and overseeing the delivery of flagship, business-critical programmes — spanning multiple workstreams, teams, and client organisations.
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Driving organisation-wide adoption of innovation, tooling, and best practices — influencing how the entire Data Science craft evolves.
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Cultivating senior talent across the organisation — coaching leads and managers, building capability pipelines, and embedding a culture of technical excellence.
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Acting as the senior technical voice in C-suite and executive client engagements, shaping strategic direction and securing long-term partnerships.
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Leading on the most strategically significant sales opportunities, providing technical authority that differentiates our proposition and wins high-value engagements.
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Partnering with Engineering, Commercial, and Infrastructure leadership to align technical strategy with broader business goals and growth ambitions.
You are a recognised expert in multiple machine learning domains, with the technical breadth to make sound judgements across the full data science landscape.
You have a proven track record of shaping technical strategy at an organisational level — not just within projects, but across business units and leadership forums.
You have led the delivery of large-scale, high-ambiguity programmes and can bring clarity, structure, and momentum to the most complex situations.
You are a skilled developer of senior people — coaching leads and managers, building capability, and shaping a high-performance culture.
You operate naturally at the executive level — with clients and internal stakeholders alike — as a trusted advisor who can translate technical thinking into commercial outcomes.
You have a visible external profile — through publications, conference contributions, open-source leadership, or industry influence — that reflects your standing in the field.
You think beyond the immediate — identifying emerging opportunities and risks and proactively shaping the organisation's response before they arrive.
Talent Team Screen (30 minutes)
Introduction to the team (30 minutes)
Take Home Technical Assessment
Technical Interview (90 minutes)
Commercial Interview (60 minutes)
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 29, 2026
- First seen
- June 29, 2026
- Last seen
- June 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- June 29, 2026
Signal breakdown
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