Senior Data Scientist

Birmingham
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Senior Data Scientist/ Senior Risk Scientist

Senior Data Engineer

Lead Machine Learning Engineer

Senior Data Scientist: Up to £73,346, plus 28.97% pension, hybrid working, flexible hours and guaranteed learning and development.

Are you looking for a leadership role where you can use data science to influence, innovate and inspire improvements?

Can you use DWP's data to improve the customer journey and outcomes for millions of people?

Digital with Purpose.

DWP Digital is looking for a Senior Data Scientist with excellent leadership skills to coach and guide a team of talented Data Scientists. You'll be creating cutting-edge, data-driven solutions that will help millions of DWP users with health conditions and disabilities.

DWP services cover everything from paying pensions and helping children & families, to helping people find work and supporting relatives of lost loved ones.

The scale of what we do is outstanding, and our purpose is unique. We'd love you to join us.

You and your role:

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 work with huge datasets and apply data science to drive critical public service transformation. You'll use data to influence choices on issues that affect millions of UK citizens.

You'll join a close-knit team at the heart of one DWP's highest priority transformation projects - the Health Transformation Programme.

Our Data Scientists work closely with multidisciplinary development teams to design and deliver new features for the PIP 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 colleagues.
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 & Build and Strategy teams that support the Health Transformation programme.Essential criteria:

Academic background in Data Science, Maths, Statistics or Computer Science
Significant experience delivering innovative, data-driven solutions and applying a range of data science techniques to solve business problems or improve processes
Ability to explore, combine and transform data from across disparate sources, writing code in R, Python or SQL that is testable and scalable
Experience of building team capability through role modelling, mentoring and coaching
Strong stakeholder management skills and experience working with colleagues to understand their requirements and deliver complex analytical projects
Ability to communicate results to a range of audiences, translating technical concepts into non-technical language where necessary
You find opportunities to use Data Science to contribute to team or wider organisational priorities.Details. Wages. Perks.

Location: You'll be based in your choice of one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle-upon-Tyne or Sheffield, whichever is most convenient for you.

Hybrid Working: We operate a hybrid working model, with some time in the office and some time at home.

Pay: We offer competitive pay of up to £63,517 per annum.

Additionally, a Digital Allowance of up to £9,829 per annum is available for exceptional candidates, based on our assessment of your skills and experience.

Pension: You'll be eligible for a brilliant civil service pension with employer contributions of over 28.97%, worth up to £18,400 per year.

Holidays: You'll get a generous leave package starting at 26 days, rising to 31 over time.

Plus, all the usual bank holidays, and the option to take up to 3 extra days off a month on flexi leave.

We have a benefits package built around your work-life balance, which includes:

Flexible working, flexi hours and flexi days
Hybrid working: some time in a hub with the team, some time at home
Family-friendly policies
Time off for 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
Working in an award-winning environment and culture
Professional development, coaching, mentoring and career progression opportunities Click 'Apply' for more information and to start an application on Civil Service Jobs

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.

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.