At a Glance
- Tasks: Join our Analytics and AI team to develop impactful AI solutions and drive innovation.
- Company: The Information Commissioners Office (ICO) is a leading independent regulator in data protection.
- Benefits: Enjoy competitive salary, hybrid working, 25 days holiday, and fantastic development opportunities.
- Why this job: Make a real difference in data ethics while collaborating with talented professionals.
- Qualifications: Experience in AI, Python, and cloud environments; strong analytical skills required.
- Other info: Be part of a diverse team committed to equality and inclusion.
The predicted salary is between 50000 - 65000 £ per year.
Salary: £57,815 - £65,021 per annum with potential for further progression to £73,211 with our pay progression scheme.
Location: Hybrid. Contracted to our Wilmslow, London, Edinburgh, Cardiff or Belfast office; however, we offer flexible home and office-based working opportunities. Please note from Autumn 2026 our head office will relocate from Wilmslow to Manchester city centre.
Why work for the ICO:
- Pay progression scheme.
- Hybrid and flexible working options.
- 25 days paid holiday per year plus privilege and public holidays.
- Flexi leave (up to 26 additional days leave per year).
- Pension (employer contribution around 28.9%).
- Online discount scheme to save money at major supermarkets, retailers, gyms, restaurants, insurance providers, and many more.
- Health Cash Plan.
- Fantastic development opportunities to learn and progress.
Job summary:
We are looking for a skilled professional to join our Analytics and AI team. You will work closely with stakeholders to identify and prioritise AI opportunities, ensuring outputs are explainable, responsible, and embedded effectively within the organisation. Collaboration is key; you will partner with data analysts, engineers, and product owners to create solutions that meet business needs while contributing to frameworks that uphold ethics, transparency, and performance. Additionally, you will support the ICO Data Academy to boost data literacy and stay ahead of emerging trends in AI and analytics to drive innovation and value.
The role will form part of our analytics and AI function providing technical expertise in the disciplines of analytics and AI. The role will help unlock insight from our wealth of internal data and advise and deliver on the best methodologies for the problem at hand. The role will primarily involve engaging with internal stakeholders to deliver analytics and AI solutions that provide value and benefit to the organisation while ensuring outputs are high quality, accurate, and consider data privacy and data ethics by design. Outputs might include reports and dashboards, data and statistical analyses, or products that utilise artificial intelligence technologies.
Key responsibilities:
- To build, develop, and test AI and analytics products that align with ICO's business strategies and provide value in a timely, accurate, and ethical manner, ensuring outputs are explainable, responsible, and embedded effectively within the organisation.
- To identify, define, and prioritise new AI opportunities that might offer value to the organisation.
- Feed into the mechanisms/frameworks that provide assurances that AI solutions are built responsibly and considerations such as explainability, ethics, and model performance are thoroughly considered and monitored.
- Work closely with product delivery mechanisms to retain critical stakeholder engagement throughout the development of solutions and successful embedment at the time of implementation.
- Work closely with the Senior Data Analysts, Senior Data Engineers, and Data Product Owners to ensure AI and analytics solutions are designed collaboratively, meet business needs, and are embedded effectively into operational workflows.
- Play an active role in our new data literacy initiative, the ICO Data Academy, helping to support the empowerment of data skills and awareness for our colleagues and supporting the broader data analytics community that exists within the ICO.
- Remain continuously informed of new developments in the fields of data analytics and AI to assess whether emerging techniques and innovation might be applied within the organisation to drive new impact and value.
Person specification:
Essential criteria assessed at application stage:
- Substantial experience relevant to the role requirements as described in the role responsibilities and person specification.
- Delivering AI solutions as part of a data science team utilising open source coding languages such as Python and building Machine Learning models/Large Language Models.
- Working in cloud environments such as Microsoft Azure and utilising cloud services.
- Delivering AI solutions within an ethics and governance framework.
- Supporting data science capability building across a team and wider organisation.
Essential criteria assessed during interview:
- An understanding of how analytics and AI can be used to drive value within an organisation.
- Technical understanding across a wide range of data analysis, data science, and AI techniques including but not limited to exploratory data analysis, statistics, machine learning, operational research, data visualisation, NLP, and generative AI.
- Proficient in Python coding language, experience of working within cloud platforms such as Microsoft Azure, and knowledge of git version control.
- Approaches for measuring and monitoring quality metrics when introducing analytics and AI solutions and products.
- Frameworks/approaches to support responsible AI innovation including identification and prioritisation of new opportunities.
- Ability to proactively engage with stakeholders to understand business challenges and provide solutions.
- Actively keeping informed of industry developments to ensure the relevance of new and emerging approaches and technologies.
- Knowledge of the data protection and privacy landscape regulations and obligations for data practitioners.
- Ability to deal with complexity and ambiguity, creative problem solving, and developing innovative solutions.
- Makes complex and technical information and language simple and accessible for non-technical audiences.
Equality, diversity, and inclusion:
The ICO is committed to promoting and enhancing equality, diversity, and inclusion. We are focused on developing a workforce that is representative of the communities we serve and together we are building an inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Closing Date:
Please submit your CV and cover letter by 23:59 Sunday 11th January 2026. Your cover letter should be no more than 1000 words and should clearly demonstrate how you meet the essential criteria for the role.
Principal Data Scientist in England employer: ICO
Contact Detail:
ICO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the ICO or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, machine learning, and AI solutions. Practice explaining complex concepts in simple terms—this will impress your interviewers!
✨Tip Number 3
Show your passion for data ethics and governance during interviews. The ICO values responsible AI innovation, so be ready to discuss how you've approached ethical considerations in your past projects. This will set you apart from other candidates!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for any new opportunities that pop up. We’re always looking for talented individuals like you!
We think you need these skills to ace Principal Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Scientist role. Highlight your experience with AI solutions, Python coding, and cloud environments like Microsoft Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter should be a chance to shine! Keep it under 1000 words and clearly demonstrate how you meet the essential criteria. Use this space to show us your passion for data science and how you can contribute to our team.
Showcase Your Collaboration Skills: Collaboration is key in our Analytics and AI team. Make sure to mention any experiences where you've worked closely with stakeholders or cross-functional teams. We love seeing how you can bring people together to solve problems!
Apply Early!: We might close the application early if we get a lot of interest, so don’t wait! Apply through our website as soon as you can to ensure your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at ICO
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and machine learning. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show that you not only understand the theory but can also apply it practically.
✨Understand the Business
Familiarise yourself with the ICO's mission and how analytics and AI can drive value for them. Think about how your skills can help solve their challenges and be prepared to share ideas on potential AI opportunities during the interview.
✨Show Your Collaborative Side
Since collaboration is key in this role, be ready to talk about your experience working with cross-functional teams. Highlight examples where you’ve successfully partnered with stakeholders to deliver solutions, ensuring you emphasise your communication skills.
✨Stay Current
Keep yourself updated on the latest trends in data science and AI. Mention any recent developments or techniques you find interesting and how they could be applied at the ICO. This shows your passion for the field and your commitment to continuous learning.