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- Tasks: Design and deliver impactful data science solutions for high-profile government programmes.
- Company: Join a large Central Government department making real-world decisions.
- Benefits: Competitive salary, career growth, and the chance to work on meaningful projects.
- Other info: Active SC Clearance is essential; public sector experience is a plus.
- Why this job: Make a difference with your data skills in a dynamic environment.
- Qualifications: 5+ years of data science experience and strong Python/Java skills required.
The predicted salary is between 55000 - 65000 £ per year.
We are working on a number of high-profile, complex data programmes within a large Central Government department and we are 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 will 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 are 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
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, machine learning, and data visualisation tools. We want to see how you can apply your knowledge to real-world problems, so have some examples ready!
✨Tip Number 3
Showcase your communication skills! Practice explaining complex data concepts in simple terms. Remember, you’ll be presenting to senior stakeholders, so being able to translate your findings into actionable insights is key.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical modelling, machine learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a great fit for our team. Don't forget to mention your active SC Clearance!
Showcase Your Technical Skills: Be specific about your technical skills in Python or Java, and any data visualisation tools you've used. We love seeing real-world examples of how you've tackled complex datasets, so include those details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at OB Collective
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets you might be working with. Familiarise yourself with the types of data, potential challenges, and how your skills can address them. This will show your passion and readiness to tackle real-world problems.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python or Java in detail. Bring examples of past projects where you applied machine learning or predictive modelling techniques. Highlight specific tools you've used for data visualisation, like Power BI or Tableau, to demonstrate your hands-on expertise.
✨Communicate Clearly and Confidently
Practice explaining complex concepts in simple terms. You’ll need to present your findings to both technical and non-technical audiences, so focus on clarity. Use examples from your previous work to illustrate how your analysis has informed decision-making at a senior level.
✨Understand the Public Sector Landscape
Brush up on current issues and trends within the public sector, especially those related to data science. Being able to discuss how your work can impact government programmes will set you apart. Show that you’re not just a data scientist, but one who understands the bigger picture.