Senior Data Scientist

Department for Work and Pensions (DWP)
Manchester
2 days ago
Create job alert

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.


Disability Confident

A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.