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?
If so, join us at DWP, 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.
This role will sit in the Data Science Team within DWP’s Working Age Services (WAS) Directorate. The team supports ongoing improvements to Working Age Services digital systems providing benefits and other services to millions of citizens, including (but certainly not limited to!) Universal Credit. This post will help improve how citizens and DWP staff are able to manage accounts on-line, as well as supporting the process of building a multi-benefit platform supporting legacy benefits such as Jobseeker’s Allowance alongside Universal Credit.
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.
Responsibilities
* Working with very large datasets, including some of the largest available in the United Kingdom, to deliver benefits that positively impact millions of citizens.
* Collaborating with multidisciplinary development teams to design and deliver new features for WAS.
* Applying expertise in datasets and data science techniques to ensure all development work is informed and supported by high quality data.
* Improving outcomes for claimants and DWP staff through evidence based insights.
* Working with colleagues across a wide range of digital professions to champion the effective use of data.
* Proactively identifying opportunities where data science can support and enhance product development.
* Working with primary stakeholders to agree data science projects including feature discovery, prioritisation, hypothesis testing, trial and feature evaluation, success measures and machine learning
It would be beneficial to have experience transforming data models into production‑ready code, although this is not essential.
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