At a Glance
- Tasks: Transform data into insights that shape policy and drive innovation.
- Company: Join a forward-thinking organisation at the forefront of statistical transformation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Hybrid working model with a minimum office attendance requirement.
- Why this job: Make a real impact by solving complex challenges with data science.
- Qualifications: Experience in data science, strong analytical skills, and a collaborative mindset.
The predicted salary is between 40000 - 50000 € 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
For a full job description and details of the skills.
Data Scientist in Hampshire employer: Office for National Statistics
Join a forward-thinking organisation that values innovation and collaboration, where Data Scientists are empowered to make a tangible impact on the UK's statistical landscape. With a flexible hybrid working model based in Titchfield and Newport, employees enjoy a supportive work culture that fosters continuous learning and professional growth, alongside a commitment to ethical data use and strategic decision-making. Experience a workplace that not only prioritises work-life balance but also encourages you to explore diverse data sources and develop your skills in a dynamic environment.
Contact Detail:
Office for National Statistics Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Hampshire
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it’s visualisations, predictive models, or analyses, having tangible examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Hampshire
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, especially in data analysis, machine learning, and teamwork.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our mission. Be specific about your experiences and how they relate to the role.
Showcase Your Projects:If you've worked on any data science projects, make sure to mention them! Whether it's a personal project or something from a previous job, showcasing your work can really set you apart from other candidates.
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 allows you to keep track of your progress!
How to prepare for a job interview at Office for National Statistics
✨Know Your Data Science Fundamentals
Brush up on your maths, statistics, and programming skills. Be ready to discuss how you've applied these in real-world scenarios. Prepare examples of projects where you used machine learning or predictive analytics to solve problems.
✨Showcase Your Collaborative Spirit
Since this role involves working with multidisciplinary teams, be prepared to share experiences where you successfully collaborated with others. Highlight your ability to communicate complex data insights to non-technical stakeholders.
✨Demonstrate Your Inquisitive Nature
Prepare to ask insightful questions about the company’s data practices and challenges. This shows your eagerness to learn and adapt, which is crucial for a self-motivated learner in the fast-moving field of data science.
✨Be Ready to Discuss Ethical Data Use
Understand the importance of ethical data handling and be prepared to discuss how you ensure data is used appropriately. Share any experiences where you had to navigate ethical dilemmas in your previous work.
