Data Scientist
| Dyddiad hysbysebu: | 06 Mehefin 2025 |
|---|---|
| Cyflog: | £42,614 i £55,091 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 15 Mehefin 2025 |
| Lleoliad: | M2 3LR |
| Cwmni: | Government Recruitment Service |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | 409925/4 |
Crynodeb
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 this role requires you to pass Security Check clearance. For further information, please see 'Selection process details'.
Joining the Working Age Services (WAS) team, you’ll apply data science on a massive scale and help influence outcomes that affect millions of UK citizens.
WAS Data Scientists are part of the multidisciplinary development teams that design and deliver new features for the Universal Credit (UC) digital service. WAS is an evolving part of DWP, expanding to support ambitious plans for labour market growth, such as the Jobs and Careers Service. We use our expertise in datasets and data science techniques to ensure the development of the service is supported by data, helping to improve outcomes for UC claimants, users of emerging labour market services and DWP staff.
DWP Data Scientists collaborate with colleagues from a range of different digital professions to promote the use of data. Your primary stakeholders will include the Design & Build and Strategy teams that support the Universal Credit programme, but you’ll also work closely with members of the Data Practice across DWP.
Data Science requests are commissioned by primary stakeholders, and include feature discovery & prioritisation, hypothesis testing, trial & feature evaluation, natural language processing & machine learning, and success measures. You’ll also contribute to the delivery of cross-cutting Data Science projects, aiming to develop our technical capabilities in areas such as machine learning, visualisation and experimentation.
DWP Digital is a great place to work, learn and grow your career. We provide comprehensive training and a collaborative environment that encourages continuous professional development.
We care about our employees and can offer you an environment that is family-friendly, supportive and inclusive in an organisation with real social purpose.
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