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- Tasks: Solve complex challenges and deliver insights that shape policy and drive innovation.
- Company: Join a forward-thinking organisation transforming the statistical landscape in the UK.
- Benefits: Flexible working, generous holiday allowance, and a market-leading pension scheme.
- Why this job: Make a real impact while developing your data science skills in a collaborative environment.
- Qualifications: Eager learners with data science skills and a passion for teamwork.
- Other info: Enjoy opportunities for professional growth and a supportive workplace culture.
The predicted salary is between 28800 - 48000 £ per year.
Location: The locations for this role are Titchfield (Fareham) and Newport. We operate a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations and working between office and remote throughout the week. As part of the hybrid working arrangement, there is a 40% minimum office attendance requirement.
Working Patterns: Flexible working, Full-time, Job share, Part-time, Compressed hours.
Closing Date: Apply before 11:55pm on Tuesday 3rd March 2026.
Are you an experienced Data Scientist eager to make a real difference in the UK? We’re looking for Data Scientists to join us at the forefront of transforming the statistical landscape. This is your chance to apply your skills to solve complex challenges, leverage diverse data sources, and deliver insights that shape policy, enhance statistics, and drive innovation.
What we’re looking for:
- A self-motivated learner who’s eager to constantly improve your data science skills and learn from colleagues and external sources.
- A team player who thrives in a collaborative environment, working alongside analysts, digital experts, and stakeholders across the public sector.
Data science is a broad and fast-moving field spanning maths, statistics, software engineering, and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In these roles, you will lead teams that will:
- Be inquisitive
- Explore and visualise data
- Make recommendations to address complex problems and to inform strategic and operational decision making
- Use data ethically and appropriately
- Be innovative and adaptable
- Explore existing and new data using a range of statistical tools and techniques, such as machine learning, AI, and predictive analytics
- Find patterns in data and transform them into organisational insight
- Deliver analysis that is fit for purpose and appropriately assured
In return we offer you:
- Hybrid working and flexi-time so you can work around your life, not the other way around!
- A market leading pension scheme - our employer contribution rate is around 29%
- A choice of working patterns for 95% of roles: full-time, part-time, compressed hours, job-share.
- Maternity, adoption or shared parental leave of 26 weeks full pay (subject to qualifying criteria)
- Opportunities to learn new technology & skills on the job, utilising blocked out Protected Learning Time in your weekly schedule and taking advantage of the support of our Communities of Practice
- Employee Assistance Programmes
- Diversity Network Groups
- Mental Health Allies
- Civil Service Sports and Social club
- Generous holiday allowance – 25 days annual leave, rising to 30 days after 5 years service in addition to 9 public holidays
For more information about this role, a full application pack, and to apply, please hit APPLY to be taken to Civil Service Jobs.
Data Scientist employer: Office for National Statistics
Contact Detail:
Office for National Statistics 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 employees or alumni in similar roles. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. We should be ready to discuss our past projects and how we’ve used data to solve real-world problems. Practice makes perfect!
✨Tip Number 3
Show off our passion for data! During interviews, let’s share our enthusiasm for learning new techniques and tools. It’s all about demonstrating that we’re not just skilled, but also eager to grow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!
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 relevant skills and experiences that align with the job description. We want to see how your background fits into our mission of transforming the statistical landscape!
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 you can contribute to our team. Be sure to mention any specific projects or experiences that showcase your skills.
Showcase Your Skills: Don’t forget to highlight your technical skills, especially in areas like machine learning and predictive analytics. We’re looking for someone who can explore and visualise data effectively, so make sure to include examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly, and you’ll find all the details you need there!
How to prepare for a job interview at Office for National Statistics
✨Know Your Data Science Stuff
Brush up on your data science fundamentals, especially in areas like machine learning, AI, and predictive analytics. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of the field.
✨Show Your Team Spirit
Since collaboration is key in this role, think of examples where you've worked effectively in a team. Highlight how you’ve contributed to group projects and how you’ve learned from others, as this will demonstrate your ability to thrive in a multidisciplinary environment.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Prepare by thinking through complex challenges you've tackled in the past, focusing on your thought process and the impact of your solutions. This will showcase your analytical skills and innovative mindset.
✨Understand Their Mission
Research the organisation's goals and how they use data to shape policy and drive innovation. Being able to articulate how your skills align with their mission will not only impress them but also show that you're genuinely interested in making a difference.