At a Glance
- Tasks: Tackle complex data science problems using Bayesian statistics and machine learning.
- Company: Innovative data science business with a strong research background.
- Benefits: Competitive salary, hybrid working, generous leave, and employee support programmes.
- Other info: Join a team that values curiosity and offers excellent growth opportunities.
- Why this job: Make a real impact on cutting-edge projects in a collaborative environment.
- Qualifications: PhD in a quantitative field and strong programming skills required.
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
- £54,000–£58,000 per annum depending on qualifications and experience
- 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.
Data Scientist employer: JobHeron
Join a pioneering data science firm in Herne Hill, South London, where you can tackle complex, real-world challenges using advanced Bayesian statistics and machine learning. With a strong emphasis on collaboration and innovation, this company offers a supportive work culture that encourages intellectual curiosity and professional growth, alongside competitive benefits such as flexible working arrangements and access to cutting-edge research projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like JobHeron!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at JobHeron.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like JobHeron.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at JobHeron, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at JobHeron, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JobHeron. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at JobHeron
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JobHeron!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
