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Data Scientist | Hybrid – Herne Hill, South London | Full-Time | Permanent
Company Overview
We are a fast-growing Data Science company, a spin-out from the University of Cambridge Astrophysics group. By leveraging cutting-edge data science and mathematics, we solve real-world problems with a focus on advancing sustainability in industrial processes and drug discovery.
The Role
Salary: Commensurate with qualifications and experience Visa Sponsorship: Licensed UK sponsor – international and Graduate-visa candidates welcome.
Do you enjoy solving complex, real-world data science challenges? This is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to high-impact challenges across sustainable industry, molecular discovery, optimisation and predictive modelling.
Unlike generic machine learning roles, this company is built on proprietary Bayesian tools and deep scientific expertise. Using advanced sampling methods, they tackle problems that traditional methods cannot resolve. If you thrive on rigorous technical work, research-driven problem-solving and translating deep science into real-world impact, this role is for you.
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What You’ll Be Doing
As a Data Scientist, your work will span:
- Developing and delivering advanced data science, sampling and machine learning solutions
- Applying Bayesian inference and probabilistic modelling to complex challenges
- Building well-tested code and technical documentation
- Collaborating with clients, research partners and technical teams
- Using proprietary Bayesian tools alongside modern LLM and GPT-based tools to enhance workflows
- Participating in regular research workshops with academic collaborators
What We’re Looking For
Essential Requirements
- PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another related quantitative field
- Strong expertise in Bayesian statistics and probabilistic modelling
- Exceptional Python programming skills (advanced level)
- Experience with Git and software development best practices
- Exceptional analytical, mathematical and problem-solving abilities
Desirable
- 1–2 years of industry experience in data science, research or scientific modelling rôles
- Familiarity with machine learning, optimisation or scientific computing
- Knowledge of Fortran, C or C++
- Experience with large, complex or high-dimensional datasets
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Why Join Us?
- Meaningful impact: Work on cutting-edge problems with tangible commercial and scientific value.
- Growth and collaboration: Join a team that values curiosity, technical depth and contribution to both client success and technical innovation.
- Research synergy: Participate in academic partnerships, shaping the future of the company’s science.
Benefits
- Hybrid and flexible working: ≥1 day in office plus remote days.
- 25 days annual leave + 8 bank holidays
- 5% employee pension contribution
- Employee Assistance Programme (24/7 virtual GP access)
- Cycle to Work scheme
- Employee discount platform
- Commercial research projects with real-world application
How to Apply
To apply, submit your CV and a link to: ✅ Your GitHub profile, coding portfolio, research publications or examples of relevant work.
Encouraged applicants:
- Previous roles as Data Scientist, Machine Learning Engineer, Quantitative Analyst, Statistician or Research Scientist may also align perfectly.
Apply promptly—your expertise could shape our next breakthrough.
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