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

Apply Now

Data Scientist

Westbury on Trym
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

Data Scientist - Contract

Data Scientist
Leading Financial Services Business

Join a growing and friendly Data Science team
Work across multiple business units on end to end ML projects
Wide variety of project experience to be gained including Gen AIExcellent opportunity to join an established and growing data science department at a leading financial services business. The department operate a bit like an internal consultancy and rotate between different departments, supporting the end to end development of machine learning & data science products for the business. You’ll work on a wide variety of projects from classical machine learning through to Gen AI.  This is a fixed term contract for 12 months with potential to turn into a permanent role.

What you’ll be doing

You’ll work as part of a team of Data Scientists on a range of data science & ML projects providing real business value for your stakeholders. Whether it’s finance, pricing, marketing, customer services and more, you’ll get to know your business stakeholders and help solve challenges with data science & ML techniques. The business have a very established data science & ML offering across their global operation and you’ll get to tap into some real experts to help develop your skills and career.

What experience you’ll need to apply

A degree in a data-focused field like Computer Science, Statistics, or Data Science or a solid STEM background.
Excellent Python development skills.
Experience working in a financial services business or other enterprise size business is a preference.
Proven expertise in developing and deploying end-to-end Machine Learning models for business challenges.
A broad understanding across classical ML, deep learning & Gen AI
Cloud experience with AWS, Azure, or GCP.
Effective communication skills for seamless collaboration across diverse technical levels.What you’ll get in return for your experience

The compensation for this role ranges from £50,000 - £65,000 (dependent on experience), along with a host of fantastic benefits. These include a flexible work policy allowing a split between office and home, a competitive bonus scheme, a flexible benefits package, 25 days holiday + bank holidays, an excellent pension scheme, private health insurance, gym benefits and more.

What’s next?

Ready to elevate your career? Apply for this role, and Alex will reach out if your application is successful to discuss the role and your experience

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.