AI Data Scientist: Applied Intelligence & Delivery

FactTrace.ai builds AI systems that bring  clarity, integrity, and evidence to complex data.

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 .

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 .

• 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

• 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.

• 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

• Office-based in Cambridge
• Close collaboration, fast feedback, shared ownership
• Suited to people who enjoy building together, in person

• Full-time role
• Start date: asp
• Competitive salary and early-stage equity participation
• Designed for long-term growth within the core technical team

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