Please note this role requires you to pass Security Check clearance. For further information, please see 'Selection process details'
Are you looking for a leadership 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 to create innovative, scalable, and user-centric digital solutions - join us as a Senior Data Scientist and help us get this right.
You’ll apply data science to drive critical public service transformation and influence choices on issues that affect millions of UK citizens. If you have used a variety of programming languages or data science techniques to harness the power of data and think that data science can transform how government services work, we’d love to hear from you.
You’ll join a close-knit team at the heart of one DWP’s highest priority transformation projects – the Health Transformation Programme.
Working with huge datasets (quite possibly the largest on offer in the UK), you’ll be delivering benefits that positively impact thousands of UK citizens.
Our Data Scientists work closely with multidisciplinary development teams that design and deliver new features for the Personal Independence Payment and Health Assessment services.
We use our expertise in datasets and data science techniques to ensure any development is supported by data, helping to improve outcomes for claimants and DWP staff.
You will collaborate with colleagues from a range of different digital professions to promote the use of data.
Your primary stakeholders will include the Design and Build and Strategy teams that support the Health Transformation programme.
Product development requests are commissioned by primary stakeholders and include feature discovery and prioritisation, hypothesis testing, trial and feature evaluation and success measures.
A degree or higher in STEM ( Science, Technology, engineering, or mathematics) is essential for this role, and evidence of qualification will be requested.
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