Salary: £54,000 – 58,000 per year
Requirements
- 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
- 1–2 years of industry experience in a relevant data science, research or modelling role is desirable
- Experience in machine learning, optimisation or scientific computing is desirable
- Knowledge of Fortran, C or C++ is desirable
- Experience working with large, complex or high‑dimensional datasets is desirable
Responsibilities
- 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 and use modern LLM and GPT‑based tools to enhance and accelerate our workflow
- Explore new models, methods and technologies, applying them where they add genuine value
- Contribute to the development of our core scientific and technical capabilities
- Collaborate with clients, research partners and internal technical teams
- Take part in regular research workshops with leading academic collaborators
Technologies
- Fortran
- Git
- LLM
- Machine Learning
- Python
- AI
- GitHub
More
We are an innovative, fast‑growing data science business founded as a spin‑out from a world‑leading university research group. We work on advanced Bayesian statistics, machine learning and scientific computing to solve complex real‑world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. You will join a highly technical, collaborative and research‑driven team, with regular workshops alongside academic collaborators and the chance to influence both client outcomes and the future direction of our science. The role is hybrid based in Herne Hill, South London, with a minimum of 1 day per week in the office. We offer a salary of £54,000–£58,000 per annum depending on qualifications and experience, 25 days annual leave plus 8 UK bank holidays, a 5% employer pension contribution, confidential Employee Assistance Programme with 24/7 virtual GP access, Cycle to Work scheme, employee discounts, and genuine scope to grow while working on cutting‑edge research and commercial projects.
last updated 26 week of 2026
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