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

Apply Now

Data Scientist

Nottingham
4 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Fintech, Nottingham)
Location: Nottingham (4 days per week in office)
Salary: £55,000 - £65,000 (DOE)
Client: High-growth Fintech
The Role
You’ll be joining a lean, high-performing data science team of three, in a Fintech that’s making serious moves in financial services.
This role is about end-to-end ownership. From spotting opportunities to deploying models that stick, you’ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference.
It’s leadership, but not in the endless-meeting, big-team sense. It’s about leading your own projects, driving outcomes, and being accountable for real commercial impact.
Why This Role Matters
Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results.
Now it’s your turn. You’ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company.
What We’re Looking For

  • Proven impact - you’ve taken models into production and seen them deliver real results.
  • Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable.
  • Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax.
  • Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss.
  • Energy & curiosity - proactive, problem-seeking, and solutions-focused.
    The Tech (Flexible)
  • Current stack: R, Databricks, SQL
  • Open to Python and other modern tools - what matters is results.
    What You’ll Get
  • £55k–£65k salary (with some flex for the right person)
  • High visibility and autonomy - your work won’t be buried in layers of hierarchy
  • A direct line to senior leadership and real influence over business decisions
  • The chance to work with sharp, passionate people solving real-world problems with data
    This role is four days a week in the Nottingham office. No hiding behind Zoom - you’ll be embedded in the business, collaborating face-to-face, and influencing directly. If that’s a fit for you, this could be a career-defining move!
    If you’re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we’d love to hear from you

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.