Data Scientist - Machine Learning/Python/Tableau

Principal Data Scientist (Hybrid work in London - roughly 1/2 days a week in London)

Were partnered with a well-established, tech-driven company thats redefining how data science supports product innovation and customer experience across its domain. With a strong focus on automation, personalisation, and intelligent decisioning, this organisation is placing data science at the heart of its strategy, investing heavily in both classic ML and next-generation AI capabilities.
This is a company that blends modern product engineering with a fast-moving, high-ownership culture. Their environment encourages experimentation, cross-functional collaboration, and the freedom to shape what great looks like in machine learning at scale.

As a Principal Data Scientist, youll play a pivotal role in shaping the companys ML capability, both technically and culturally. Working alongside a collaborative data science team, youll help embed AI into core product workflows, define best practices across model deployment and experimentation, and support the evolution of their real-time modelling infrastructure.
This is a hybrid hands-on / leadership role, ideal for someone who thrives at the intersection of applied research, platform integration, and engineering-minded data science.

The team have multiple LLM projects running but would love a technical leader in this area
Own the end-to-end lifecycle of ML projects, from feature engineering to deployment and monitoring
Define best practices for model testing, automation, and continuous improvement within a high-performing team
Drive the adoption of real-time decisioning systems and champion the operationalisation of AI
Support the upskilling of the wider organisation in modern ML practices, helping teams unlock greater value from data
Lead by example in establishing a sustainable, scalable approach to AI delivery

6-10+ years experience as a Data Scientist or ML Engineer, with exposure to both traditional ML and generative AI
~ Strong belief in data science as a product, not just a modelling function
~ Technical depth in Python, software engineering principles, and deployment tooling
~ Familiarity with experimentation frameworks and model monitoring approaches
~ Prior experience building ML capabilities within product-focused teams or high-growth environments
~ Interest in shaping team norms, mentoring others, and elevating data science maturity


Competitive salary, annual performance bonus, and strong long-term incentives
Comprehensive benefits including private health cover, enhanced leave policies, and personal development support
Additional perks such as flexible benefits allowance, paid sabbaticals, mental health support, and lifestyle benefits (e.g. car scheme, dental, gym, and more)