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

Apply Now

Principal Data Scientist

TieTalent
Birmingham
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Join to apply for thePrincipal Data Scientistrole atTieTalent.

3 days ago Be among the first 25 applicants.

Get AI-powered advice on this job and more exclusive features.

About the Role

Do you want to use data to bring about the next generation of transport decision making?

Are you an experienced data scientist?

We’d love for you to apply! You will play an essential role in integrating data science into decision making within DfT, leading projects, and working with cross-disciplinary teams to develop innovative solutions like the Connectivity Tool, which assesses transport connectivity to support sustainable growth and policy decisions.

Key Responsibilities

  1. Lead and deliver high-value data science projects, acting as the main liaison with stakeholders.
  2. Contribute technically to the Connectivity Tool, providing creative solutions and evaluating approaches.
  3. Maintain and enhance the Connectivity Tool’s data sources, exploring new data opportunities.
  4. Advise on mathematical methodologies and lead solution discussions.
  5. Promote data science capabilities within the team and across DfT.
  6. Engage with stakeholders and contribute to reporting activities.

The Team

The Planning Team specializes in spatial and transport planning advice, working across DfT policy interests and collaborating with external bodies. They have been instrumental in shaping planning reforms and developing the Connectivity Tool, which aims to deliver significant societal and economic benefits.

Person Specification

Essential Experience:

  • Leading data science projects independently and through teams.
  • Engaging stakeholders to understand needs and improve decision making.
  • Building technical capability within teams.

Additional Skills:

  • Applied mathematics, statistics, experimental design, data analysis, hypothesis testing.
  • Proficiency in Python (and ideally Rust), front-end development (JavaScript, Svelte, C#).
  • Experience with cloud services (preferably GCP).
  • Machine learning techniques and deployment best practices.
  • Using data science to solve organizational challenges and promoting best practices.

Benefits

Salary: £54,867 plus £15,894 pension contribution. Benefits include generous leave, flexible working, and inclusive environment.

Nice-to-Have Skills

  • Python, Rust, JavaScript, Svelte, C#, GCP, Machine Learning, Birmingham location.

Work Experience

  • Data Scientist, Data Engineer.

Languages

  • English.

Additional Details

Seniority Level: Mid-Senior Level.

Employment Type: Full-time.

Job Function: Engineering and IT.

Industries: Technology, Information, Internet.

#J-18808-Ljbffr

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.