Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

DWP Digital
Lancashire
4 days ago
Create job alert
Overview

As a Data Scientist, you'll work with some of the UK's largest datasets to uncover insights, test hypotheses, and support service transformation. You'll apply techniques like NLP, machine learning, and data visualisation to influence policy and improve health services. Collaborating across disciplines in an inclusive, supportive environment, you'll be part of a team driving evidence-based change. You’ll be part of the Health Transformation Programme, supporting the delivery of Personal Independence Payments (PIP) and Health Assessment services. You’ll analyse large datasets to uncover insights, test hypotheses, and evaluate features, using natural language processing, machine learning and data visualisation to support service transformation and policy development. You’ll collaborate across disciplines, contribute to cross-cutting initiatives, and receive training and professional development in a family-friendly, inclusive environment.


Responsibilities

  • Academic & Professional Foundation - You bring a strong academic background in Data Science, Maths, Statistics, or Computer Science, or equivalent experience applying data science in a business context.
  • Coding Skills - You can write code in Python and SQL to support analysis, automation, and data-driven decision-making.
  • Applied Data Science - You can use data science techniques to solve problems, optimise processes, and deliver measurable improvements.
  • Stakeholder Engagement - You can work closely with stakeholders to understand their needs and deliver complex analytical projects on time and with impact.
  • Proactive Insight Generation - You are proactive in spotting opportunities to apply data science to team or organisational priorities, helping drive innovation and efficiency.

About Disability Confident (EEO note)

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. In certain recruitment situations, the employer may limit overall numbers of interviews offered to both disabled and non-disabled people. For more details please go to the official Disability Confident page.


Organisation & Role Context

We are the UK Government Department for Work and Pensions (DWP). We help people into work, and make payments worth over £195bn a year to support vulnerable people in our society. We are looking for a Data Scientist to join our community of tech experts in DWP Digital. We are driving a transformation of government services with fresh ideas and leading-edge technologies to build scalable, user-centric digital solutions used by nearly every person in the UK.


Benefits & Location

  • Pay up to £55,091, plus 28.9% employer pension contributions, hybrid working with 60% home working, flexible hours, and great work-life balance.
  • Hybrid working in one of our digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle or Sheffield. 60% office / 40% home working.
  • Competitive pay and a civil service pension with employer contributions of 28.9%.
  • Generous leave package starting at 26 days, with up to 3 extra days off a month on flexi-time.
  • Broad benefits package focused on work-life balance, including:

    • Award-winning environment and culture
    • Flexible working and family-friendly policies
    • Time off volunteering and charitable giving
    • Identity and inclusion initiatives (I Can Be Me in DWP)
    • Discounts, savings, and transportation loans
    • Sports and social activities
    • Professional development, coaching, mentoring, and career progression opportunities



#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.