Data Scientist

DWP Digital
Blackpool
3 days ago
Create job alert

Data Scientist
Pay up to £55,091, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.
DWP. Digital with Purpose.
Joining DWP's Working Age Services team, you'll apply data science on a massive scale and help influence outcomes that affect millions of UK citizens.
Our teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives.
DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people.
The scale of what we do is extraordinary, the problems we have to solve are rich and complex, and our purpose is unique. We'd love you to join us.
What skills, knowledge and experience will you need?
Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience.
Experience of writing code in R, Python or SQL.
Hands-on experience using data science to solve problems or improve established processes.
Stakeholder management skills and experience working with colleagues to understand their requirements and deliver complex analytical projects in a timely manner.
Being proactive in recognising opportunities to use Data Science to contribute to team or wider organisational priorities.
You and your role
As a Data Scientist, you will be working on advanced analytics, including machine learning, network analytics, natural language processing, using python and SQL along with coding best practice to develop extensible and re-usable codebases.
You'll also be collaborating with the wider Data Science and Data community, championing best practice and driving innovation and AI literacy across the organisation.
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.
Details. Wages. Perks.
Location: You'll join us in one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle-upon-Tyne and Sheffield, whichever is most convenient for you.
Hybrid Working: We work a hybrid model - you'll spend some time working at home and sometime collaborating face to face in a hub.
Pay: We offer pay of up to £55,091.
Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £12,345 per year.
Holidays: A generous leave package starting at 26 days and rising to 31 days over time.
You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays.
We have a broad benefits package built around your work-life balance which includes:
An award-winning environment and culture: Employer of the Year 2023 (Women In IT Awards), Founders Award for Outstanding Digital Leadership 2023 (Digital 100)
Flexible working including flexible hours and flex-friendly policies
Time off volunteering and charitable giving
Bring your authentic self to work with 'I Can Be Me in DWP'
Discounts and savings on shopping, fun days out and more
Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference
Sports and social activities
Professional development, coaching, mentoring and career progression opportunities.
Process:
We know your time is valuable, so our application and selection process is just two stages:

Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.
Interview: a single stage interview online.

CLICK APPLY for more information and to start your application.

TPBN1_UKTJ

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Knowledge Graph)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.