Principal Data Scientist - AI & Machine Learning
Location: London (Hybrid: 3 days in office)
Salary: £100,000 - £125,000 + 10% discretionary bonus + equity scheme
We're partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms.
They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business.
This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions.
The Opportunity
You'll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools.
This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production.
You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems.
What You'll Be Doing
Design, build, and deploy machine learning models (prediction, classification)
Own delivery of data science solutions from problem definition to production
Lead experimentation and A/B testing to drive continuous improvement
Collaborate cross functionally with product, engineering, and commercial teams
Mentor and elevate a high-performing team of data scientists and ML engineers
Contribute to AI strategy, including developments in generative AI
Experience
6-12 years' experience in data science, currently operating at Principal level
Strong grounding in machine learning fundamentals (supervised learning essential)
Proven experience delivering production-grade ML solutions
Strong Python and SQL skills
Experience with experimentation and data-driven decision making
Ability to operate as a hands-on technical leader (not pure management)
Advanced degree (Master's or PhD) in a quantitative field
Experience working with financial or private markets data
Exposure to alternative investments or private equity datasets
Knowledge of causal inference, probabilistic modelling, or knowledge graphs
Why Apply
High-impact role with ownership and autonomy
Work on AI initiatives in a growing team
Strong engineering and data culture with a focus on excellence
Clear progression and opportunity to shape future capabilities
Please note - sponsorship is not available for this position.
TPBN1_UKTJ