Data Scientist

Please note this role requires you to pass Security Check clearance. For further information, please see 'Selection process details'.

Are you looking for a role where you can use data science to influence, innovate and inspire improvements?

Would you love the opportunity to use our wealth of data to inform the customer journey for millions of users?

DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support some of society’s most vulnerable people.

We’re using fresh ideas to drive a once in a generation transformation of government services, creating innovative, scalable, and user-centric digital solutions - join us as a Data Scientist and help us get this right.

If you can use a variety of programming languages or data science techniques to harness the power of data and would like to bring your analytical skills, curiosity, and innovation to bear, we’d love to hear from you.

Please note – all interviews will take place in person, at one of the following offices:Birmingham, Blackpool, Leeds, Manchester, Newcastle or Sheffield.

• 
  
• Apply data science at scale to influence outcomes that affect millions of UK citizens, contributing to one of DWP’s highest priority transformation projects – the Health Transformation Programme.
  
• Work within a close-knit team supporting the delivery of Personal Independence Payments (PIP) and Health Assessment services.
  
• Handle and analyse large-scale datasets, potentially among the largest in the UK public sector, to deliver insights and benefits that positively impact thousands of citizens.
  
• Respond to commissioned data science requests from primary stakeholders, including feature discovery and prioritisation, hypothesis testing, trial and feature evaluation, natural language processing and machine learning and development of success measures.
  
• Contribute to cross-cutting data science initiatives, enhancing technical capabilities in machine learning, data visualisation as well as experimentation and evaluation.
  
• Collaborate across disciplines to ensure data-driven decision-making supports service transformation and policy development.
  
• Engage in continuous professional development, supported by comprehensive training and a collaborative working environment.
  
• Work in a supportive, inclusive and family-friendly organisation, committed to employee wellbeing and delivering services with real social purpose.