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

Apply Now

Principal Data Scientist

Leeds
1 day ago
Create job alert

phone number removed) Principal Data Scientist

Department for Transport

Apply before 11:55 pm on Tuesday 25th November 2025

📍 Location: Birmingham, Leeds, London (Hybrid)

đź’· Salary: ÂŁ57,515 (National Salary: ÂŁ57,515, London Salary: ÂŁ62,034 plus an additional allowance up to ÂŁ25,543)

A Civil Service Pension with an employer contribution of 28.97%

🕒 Contract Type: Permanent – Flexible working, Full-time, Job share, Part-time

Roles available: 2

You will play a key role in expanding the use of Data Science and AI across the DfT, helping apply cutting-edge techniques to high-stakes decisions. Working collaboratively with data engineers, digital and policy teams, you’ll help embed data-driven insight at the heart of decision-making and increase the impact of data science across the Department.

The Data Science Team, part of the Advanced Analytics Division (AAD), is a growing multidisciplinary unit within the Analysis Directorate, bringing together experts from GORS, GSS, GSE and GDaD. Based across London, Hastings, Leeds and Birmingham, we use techniques from systems thinking and modelling to AI, machine learning and digital twins to tackle complex challenges.

Our ambition for 2025 is to establish DfT as a leader in AI, advancing the Prime Minister’s AI Opportunities Action Plan and DfT’s Transport AI Action Plan.

Top Responsibilities

  • Engaging with DfT stakeholders to identify high impact data science projects.

  • Planning, leading and delivering high value data science projects, acting as the main customer link.

  • Carrying out technical work: machine learning and AI, automation, big data analysis tools and techniques, and cloud computing.

  • Building data science capability both within the team and across DfT.

    Benefits

  • Employer pension contribution of 28.97% of your salary. Read more about Civil Service Pensions here

  • 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave).

  • 8 Bank Holidays plus an additional Privilege Day to mark the King’s birthday.

  • Access to the staff discount portal.

  • Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc.

  • Joining a diverse and inclusive workforce with a range of staff communities to support all our colleagues.

  • 24-hour Employee Assistance Programme providing free confidential help and advice for staff.

  • Flexible working options where we encourage a great work-life balance.

    About you

    To be successful in this role you will need to have the following experience:

  • Leading and delivering data science projects yourself and through others.

  • Engaging with Stakeholders to understand their needs and identify where data science can improve decision making.

  • Building technical capability in the team and organisation.

  • Expert Python (or similar with a desire to develop Python knowledge).

  • Applied maths, statistics and scientific practices. Includes a range of scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.

  • Confidence using analytical approaches and interpreting data.

  • Experience inferring, predicting or forecasting using a variety of machine learning techniques. Understanding of good practices in model development and deployment.

  • Experience identifying efficient and effective ways to use data science to tackle business and organisational challenges.

  • Experience promoting professional development by expanding data science knowledge and sharing best practice across departments/industry.

  • Experience presenting, communicating and disseminating data science products and findings.

  • Knowledge of data manipulation techniques to produce or improve data.

  • Use a range of data sources, analytical tools and techniques to develop and deploy robust data science solutions into the business.

  • Understands the ethical considerations of potential data science approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc.

    Additional Information

    The role is part of the Government Digital and Data profession and utilises an enhanced Capability–Based Pay Framework which provides access to a Digital and Data allowance.

    The base pay is ÂŁ57,515 (National) and ÂŁ62,034 (London). In addition to this, the role includes a Digital and Data allowance of up to ÂŁ25,543.

    How to Apply
    👉 Read the full job description and apply at CS Jobs using the link provided.

    This vacancy closes at 23:55 on Tuesday 25th November 2025

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist - Financial Services - London/Flexible

Principal Data Scientist

Principal Data Scientist

Principal 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.

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.