At a Glance
- Tasks: Lead a high-performing team to harness data and improve outcomes for millions.
- Company: Join DWP Digital, a leader in innovative public service solutions.
- Benefits: Competitive salary, generous leave, flexible hours, and a fantastic pension scheme.
- Other info: Award-winning culture with strong focus on diversity and professional development.
- Why this job: Make a real impact using data science to shape services for working-age citizens.
- Qualifications: Degree in STEM and experience leading analytics teams required.
The predicted salary is between 92522 - 92522 £ per year.
Pay of up to £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance.
We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you.
DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, delivery and evaluation of Working Age digital services.
Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team.
What skills, knowledge and experience will you need?
- Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes.
- Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices.
- Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery.
- Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias.
- Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives.
- Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally.
- A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested.
You and your role
As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services.
You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities.
You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues.
Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias.
As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice.
Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful.
Details. Wages. Perks.
Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield.
Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub.
Pay: We offer competitive pay of up to £92,522.
Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year.
Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays.
We have a broad benefits package built around your work-life balance which includes:
- Flexible working including flexible hours and flex-friendly policies
- Time off volunteering and charitable giving
- Bring your authentic self to work with 'I Can Be Me in DWP'
- Discounts and savings on shopping, fun days out and more
- Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference
- Sports and social activities
- Professional development, coaching, mentoring and career progression opportunities.
And we have an award-winning environment and culture:
- DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards
- Diverse and Inclusive Leadership at Digital Leaders Awards 2024
- Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025
- Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards
Process:
We know your time is valuable so our application and selection process is just two stages:
- Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.
- Interview: a single stage interview online.
CLICK APPLY for more information and to start your application.
Lead Data Scientist in Humber employer: DWP Digital
DWP Digital is an exceptional employer, offering a dynamic work environment that prioritises work-life balance through hybrid working and flexible hours. With a strong commitment to employee growth, the company provides extensive professional development opportunities, a generous pension scheme, and a culture that celebrates diversity and inclusion, making it a rewarding place for passionate individuals to make a meaningful impact in the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Humber
✨Tip Number 1
Network like a pro! Reach out to current employees at DWP Digital on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for your interview by brushing up on your data science techniques. Be ready to discuss how you’ve applied these in real-world scenarios. We want to see your passion for using data to solve complex problems!
✨Tip Number 3
Showcase your leadership skills! Think of examples where you’ve led teams or projects, especially in analytics. We’re looking for someone who can inspire and guide others while delivering impactful results.
✨Tip Number 4
Don’t forget to highlight your commitment to diversity and inclusion. Share how you’ve created an inclusive environment in past roles. At DWP Digital, we value diverse perspectives and want to hear how you can contribute!
We think you need these skills to ace Lead Data Scientist in Humber
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the Lead Data Scientist role. We want to see how you can bring value to our team, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills:As a Lead Data Scientist, you'll be leading a high-performing team. Use your application to demonstrate your experience in managing teams and delivering results. Share specific examples of how you've built relationships and fostered collaboration in previous roles.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key points stand out. This will help us quickly understand your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need to complete your application smoothly.
How to prepare for a job interview at DWP Digital
✨Know Your Data Science Techniques
Make sure you brush up on a broad range of data science techniques before the interview. Be ready to discuss how you've applied these methods in past projects, especially in leading teams to deliver analytics and insights. This will show your depth of knowledge and commitment to staying current in the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading high-performing, multi-disciplinary teams. Talk about how you've built trusted relationships with stakeholders and how you've contributed to creating an inclusive environment. This is crucial for the Lead Data Scientist role, so make it count!
✨Understand the DWP's Mission
Familiarise yourself with the DWP's goals, especially regarding Working Age Services. Be ready to discuss how your work can align with their mission to improve outcomes for claimants. Showing that you understand their objectives will demonstrate your genuine interest in the role.
✨Prepare for Ethical Considerations
Be prepared to discuss how you address ethical considerations in data science, such as bias and privacy. Have examples ready that illustrate your commitment to responsible data practices. This will show that you not only have the technical skills but also the ethical mindset needed for the role.
