National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Edinburgh
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Join us as a Data Scientist

Playing a key role in advancing applied AI and AI research within the financial services industry, you’ll work within a team of skilled data scientists to tackle complex business challenges using advanced analytics and machine learning techniques

You’ll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models

This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field of data science and AI

What you'll do

As a Data Scientist, you'll be responsible for contributing to the development and execution of innovative AI and data science solutions for the bank's most pressing challenges. You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.

Your responsibilities will include:

Supporting the data science community of practice, staying informed in the field of applied AI and AI research

Communicating effectively with stakeholders, providing insights and recommendations based on your team's projects and findings

Participating in end-to-end project delivery, from ideation to production deployment, ensuring alignment with business objectives

Assisting in the identification and implementation of cutting-edge technologies, tools and techniques to deliver value through cost reduction, income generation, or improved customer experience

The skills you'll need

To excel in this role as a Data Scientist, you'll need a solid academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science, ideally with a MSc or PhD. You'll also need experience with statistical modelling and machine learning techniques, as well as some knowledge of financial services.

In addition, you'll demonstrate:

The ability to use data to solve business problems from hypotheses through to resolution

Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS SageMaker, PyTorch, TensorFlow, JAX, NumPy, scikit-learn, time-series forecasting, classification, regression, large-language models, and experimental design

Experience of using programming language and software engineering fundamentals

Experience of exploratory data analysis

Effective communication skills with the ability to proactively engage with a wide range of stakeholders

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.