AI Data Scientist : Applied Intelligence & DeliveryFactTrace • Cambridge, England, United Kingdom
AI Data Scientist : Applied Intelligence & Delivery
FactTrace
- Cambridge, England, United Kingdom
- Cambridge, England, United Kingdom
Über
Our focus is not just intelligence, but trust — ensuring that AI outputs can be understood, validated, and relied upon in real-world decision-making.
After a period of incubation and research in 2025, FactTrace is now operating as a trading company and going public in January 2026. This next phase is about delivery, real-world data, and outcomes under scrutiny.
The Role We are looking for exceptional AI Data Scientists based in the UK who want to work side by side with engineers, validation leads, and the founder, turning advanced models into systems that run reliably in the real world.
This is a fully office-based role in Cambridge. We believe this phase of the company benefits from being in the same room: fast iteration, shared context, and deep collaboration.
This is not a pure research role.
You will be part of a small, senior technical team focused on shipping, validating, and improving models under real constraints.
What You’ll Do
Design and develop models for complex, real-world datasets
Translate analytical ideas into deliverable, repeatable outputs
Work within an engineering pipeline to ensure models can run reliably
Collaborate closely with validation leads to test performance on real-world data
Iterate based on feedback, results, and observed behaviour
Clearly document assumptions, limits, and performance
Participate in technical reviews focused on learning and improvement
What We’re Looking For
PhD, MPhil, or equivalent experience in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
Strong foundation in Python and data science tooling
Solid understanding of machine learning concepts and evaluation
Comfort working with messy, real-world data
Ability to move from abstract reasoning to concrete implementation
A delivery mindset: clear outputs, clear assumptions, clear timelines
Candidates do not need to come from a specific university — we welcome applications from across the UK.
Nice to Have (Not Required)
Experience with deep learning, embeddings, or representation learning
Familiarity with PyTorch, TensorFlow, or similar frameworks
Interest in robustness, evaluation, or data integrity
Experience taking work from experimentation into production
Working Style & Location
Office-based in Cambridge
Close collaboration, fast feedback, shared ownership
Suited to people who enjoy building together, in person
Commitment & Growth
Full-time role
Start date: as soon as possible
Competitive salary and early-stage equity participation
Designed for long-term growth within the core technical team
How to Apply Please send:
Your CV
Your GitHub
A short note (a few paragraphs is enough) explaining:
What draws you to applied data science
Why you want to work hands-on, in person, on real-world systems
hr@facttrace.ai
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Sprachkenntnisse
- English
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