Data Scientist

Company Overview

We are a fast-growing Data Science company, a spin-out from the University of Cambridge Astrophysics group. The company applies cutting-edge data science and mathematics to solve a diverse range of real-world problems, with a focus on advancing sustainability in industrial processes and drug discovery.

Data Scientist | Hybrid – Herne Hill, South London | Full-Time | Permanent

Salary commensurate with qualifications and experience

Licensed UK visa sponsor — international and Graduate-visa candidates welcome.

Want to work on the kind of data science problems most companies can’t solve?

An innovative, fast-growing data science business is looking for a Data Scientist to join its highly

technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling.

This is not a generic machine learning role — and it’s not another business building around

off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep

scientific capability, using advanced sampling methods and modern AI technologies to tackle

problems that standard approaches can’t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research and commercial impact, this is a role worth exploring.

The Data Scientist Opportunity

As a Data Scientist, you’ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications.

You’ll contribute to both client-facing work and the development of the company’s core technology, collaborating with a team that values curiosity, experimentation and technical depth.

You’ll also have the chance to take part in regular research workshops with academic collaborators, helping shape the future direction of the company’s science while working on projects with real-world value.

What You’ll Be Doing

• Develop and deliver advanced data science, sampling and machine learning solutions
• Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges
• Build robust, well-tested code and clear technical documentation
• Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based
• tools to enhance and accelerate your workflow
• Explore new models, methods and technologies, applying them where they add genuine value
• Contribute to the development of the company’s core scientific and technical capabilities
• Collaborate with clients, research partners and internal technical teams
• Take part in regular research workshops with leading academic collaborators

What We’re Looking For

We’re looking for a technically strong, intellectually curious Data Scientist who enjoys solving difficult problems and working in a research-driven environment.

Essential:

PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another highly

quantitative discipline

Strong knowledge of Bayesian statistics and probabilistic modelling

Advanced Python programming skills

Experience with Git and software development best practice

Excellent analytical, mathematical and problem-solving skills

Desirable:

1–2 years’ industry experience in a relevant data science, research or modelling role

Experience in machine learning, optimisation or scientific computing

Knowledge of Fortran, C or C++

Experience working with large, complex or high-dimensional datasets

Why Join?

This is an opportunity to do meaningful, intellectually challenging work in a company that combines serious scientific depth with real commercial application. You’ll join a collaborative, highly technical team where new ideas are welcomed, curiosity is encouraged and your work can directly influence both client outcomes and the future direction of the business.

Benefits

Hybrid and flexible working – with a minimum of 1 day per week in the office

25 days’ annual leave, plus 8 UK bank holidays

5% employer pension contribution

Confidential Employee Assistance Programme, including 24/7 virtual GP access for you and

your household

Cycle to Work scheme

Access to an employee discounts platform with retail, technology and lifestyle savings

The chance to work on cutting-edge research and commercial data science projects

A collaborative, research-driven environment with genuine scope to grow

What’s Next?

To be considered, please submit your CV along with a link to your GitHub profile, coding portfolio,

publications or other examples of technical work.

Candidates with experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst,

Statistician, Computational Scientist, Research Scientist or in a similar advanced technical role are encouraged to apply. We may be able to help some candidates

How to Apply

If this role sounds interesting, click the APPLY button to send your CV for immediate consideration.

Please include a link to your GitHub repository and/or other examples of your coding work.