Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver impactful data science solutions for high-profile government projects.
- Company: Join a large Central Government department making real-world decisions.
- Benefits: Competitive salary, career growth, and the chance to work on meaningful data programmes.
- Other info: Active SC Clearance is mandatory; public sector experience is a plus.
- Why this job: Make a difference with your data skills in a dynamic and challenging environment.
- Qualifications: 5+ years of data science experience and strong Python/Java skills required.
The predicted salary is between 55000 - 65000 £ per year.
We're working on a number of high-profile, complex data programmes within a large Central Government department and we're looking for experienced Data Scientists who are ready to get their hands dirty on work that matters. These are senior roles requiring proven delivery in demanding environments. You'll be embedded in teams working across large-scale, sensitive datasets where the quality of your analysis directly informs consequential decisions. Active SC Clearance is mandatory. We cannot consider applications without it.
Responsibilities
- Design and deliver end-to-end data science solutions across complex, multi-stakeholder programmes
- Apply statistical modelling, machine learning, predictive modelling, clustering and classification techniques to large-scale government datasets
- Build and maintain data visualisations and dashboards that communicate insight clearly to both technical and non-technical audiences
- Translate analytical outputs into actionable recommendations for senior stakeholders and decision-makers
- Work closely with data engineers, architects, and policy teams to ensure solutions are robust and production-ready
- Contribute to data strategy and help establish best practice
What we're looking for
- 5+ years of hands-on data science experience, with demonstrable delivery in complex or regulated environments
- Strong Python and/or Java; comfortable working with large, messy, real-world datasets
- Deep understanding of predictive modelling, machine learning, clustering and classification techniques, and algorithms
- Experience with data visualisation tools (e.g. Power BI, Tableau, or equivalent)
- Confident communicator — able to present methodology and findings at senior level
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, or similar)
- Public sector or government experience is a strong advantage
- Active SC Clearance (essential)
If you have the relevant experience and want to work on programmes with genuine scale and impact, get in touch.
Data Scientist employer: OB Collective
Contact Detail:
OB Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the government sector, especially those in data roles. They can provide insider info and might even refer you directly, which can give your application a serious boost.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects. Make sure to include examples of predictive modelling and visualisations that clearly communicate insights. This will help you stand out during interviews.
✨Tip Number 3
Practice your communication skills! Since you'll be presenting to senior stakeholders, it’s crucial to articulate your findings clearly. Try explaining complex concepts to friends or family to refine your ability to simplify technical jargon.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Scientists. By applying directly, you’ll ensure your application gets the attention it deserves, and you might just land that dream role working on impactful projects.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your hands-on data science experience and any relevant projects that showcase your ability to work with large datasets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how your background aligns with our needs. Be sure to mention your experience in complex environments and your familiarity with predictive modelling techniques.
Showcase Your Technical Skills: Don’t forget to list your technical proficiencies, especially in Python or Java, and any data visualisation tools you’ve used. We want to see how you can apply these skills to real-world problems, so be specific!
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at OB Collective
✨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling, machine learning, and data visualisation techniques. Be ready to discuss specific projects where you've applied these skills, especially in complex environments. The interviewers will want to see how you can translate your technical knowledge into actionable insights.
✨Showcase Your Communication Skills
As a Data Scientist, you'll need to communicate your findings to both technical and non-technical audiences. Prepare examples of how you've presented your work to senior stakeholders in the past. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Familiarise Yourself with the Public Sector
Since this role is within a Central Government department, having an understanding of public sector challenges and regulations can set you apart. Research current issues or initiatives in government data programmes and think about how your experience aligns with these. This shows you're not just a data whiz but also aware of the context in which you'll be working.
✨Prepare for Technical Questions
Expect some technical questions or even a practical test during the interview. Brush up on Python or Java, and be prepared to solve problems on the spot. Practising coding challenges or discussing your thought process while tackling data-related problems can help you feel more confident when faced with these questions.