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- Tasks: Dive into data science, tackling real-world challenges in the financial sector.
- Company: Join the FCA, a leader in regulating UK financial services.
- Benefits: Gain hands-on experience, competitive salary, and professional development opportunities.
- Why this job: Make a meaningful impact while shaping the future of finance with cutting-edge technology.
- Qualifications: Degree in data science with a minimum 2:1 required.
- Other info: Two-year programme focused on personal growth and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Our Data, Digital and Technology (DDAT) – Data Science Graduate Programme is designed to develop your career as a data scientist within the financial sector. As a graduate on this pathway, you\’ll work across our data, digital, technology, and innovation teams, gaining hands‑on experience in applying data science to real‑world regulatory challenges.
Responsibilities
You will build expertise in areas such as data analysis, machine learning, open finance, and artificial intelligence, directly supporting smarter, data‑driven decision‑making at the FCA. Your rotations will immerse you in technical projects, ranging from developing analytical models and building data visualisation dashboards to coding and deploying solutions that enhance regulatory outcomes. Throughout the programme, you will contribute to strategic planning, shape data architecture, and support the design and governance of digital solutions. You may also have the opportunity to deliver research and insights that inform FCA activities and drive thought leadership in FinTech, RegTech, and EmTech.
Qualifications
- Degree background in data science.
- Minimum 2:1 degree from any university.
- Graduated or in final year of study to apply for the 2026 graduate programme.
- Obtained or on track to achieve a minimum 2:1 degree from any university.
Learning & Development
Our two‑year programme is designed to equip you with the skills and confidence to thrive in a fast‑paced, evolving environment. Centred on the FCA\’s values of self‑sufficiency, resilience, ambition, engagement, and integrity, you will be supported in developing personal effectiveness, advancing professional capabilities, and making a meaningful impact.
Our graduate scheme offers
Graduate scheme offers are subject to candidates independently obtaining and maintaining permission to work in the UK for the duration of the programme. At the FCA, we regulate financial services firms in the UK to keep financial markets fair, thriving and effective. By joining us, you\’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK financial services. We\’re looking for graduates to join our diverse and highly capable teams across the FCA.
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2026 Data, Digital & Technology - Data Science Graduate Programme- London employer: The FCA
Contact Detail:
The FCA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Data, Digital & Technology - Data Science Graduate Programme- London
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or professionals in the data science field. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data analysis and machine learning. This will give you an edge during interviews and help us see your practical experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when it’s your turn.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the details about the programme and what we’re looking for in candidates.
We think you need these skills to ace 2026 Data, Digital & Technology - Data Science Graduate Programme- London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Graduate Programme. Highlight any relevant projects or coursework in data analysis, machine learning, or AI to show us you’re a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our mission at the FCA. Be genuine and let your personality come through!
Showcase Your Technical Skills: Don’t forget to mention any programming languages or tools you’re familiar with, like Python or R. We want to see how you can apply these skills to real-world challenges, so give us examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s straightforward and ensures your application gets to the right place. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at The FCA
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Be ready to discuss concepts like data analysis, machine learning, and artificial intelligence. The interviewers will likely want to see how well you understand these areas, so having examples from your studies or projects can really help.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in your academic projects or internships. Highlight how you approached these problems using data-driven methods. This will demonstrate your ability to apply theoretical knowledge to real-world scenarios, which is crucial for the role.
✨Familiarise Yourself with FCA's Values
The FCA values self-sufficiency, resilience, ambition, engagement, and integrity. Think of examples from your experiences that align with these values. Showing that you resonate with their mission will set you apart and show that you're a good cultural fit.
✨Ask Insightful Questions
Prepare thoughtful questions about the programme and the work you'll be doing. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Consider asking about the types of projects you'll be involved in or how the team collaborates on data-driven decisions.