At a Glance
- Tasks: Dive into AI, machine learning, and product development to transform financial technology.
- Company: Join a fast-growing fintech in London with a collaborative culture.
- Benefits: Enjoy 25 days holiday, gym membership, and a month-long sabbatical after four years.
- Other info: Hybrid work model with exceptional promotion opportunities in a dynamic environment.
- Why this job: Make a real impact on credit solutions while learning from industry experts.
- Qualifications: Recent graduate in a technical field with Python skills and a passion for fintech.
The predicted salary is between 28000 - 38000 £ per year.
Your grad Scheme (Data Science Route)
Our Data Science team works across our entire business, from new products to core credit decisioning to user acquisition. You’ll get exposure to a wide range of projects, such as:
- AI & Machine Learning Development: work directly on our proprietary loan decision platform, Render, contributing to the transformer models that allow us to outperform the market in loan performance.
- Open Banking Integrations and Classification: enhancing how we transform noisy, real-time transaction data into automated lending decisions.
- Product Development: participate in rapid feature development cycles, with direct impact on customer experience and business outcomes.
Bi-annual technical reviews and career progression planning. Cross-functional exposure to risk, compliance, underwriting and product teams.
Who you are
You believe that learning is the most important thing to optimise for as you start your career and want to learn by doing at the fastest growing fintech in London. You like getting your hands dirty and using tech to solve complex problems. You also want to learn about the commercial impact of any technical changes you make.
A recent (or soon-to-be) graduate with a degree in a technical or quantitative field (e.g. Data Science, Statistics, Mathematics, Engineering, Economics). Programming: Proficiency in Python or similar languages. Genuine interest in financial technology and how AI can solve real-world problems. Strong communication skills and ability to work in cross-functional teams.
Why join us
Meaningful, high-impact work from day one. Learn from experienced data scientists, engineers, and product leaders in a flat, fast-paced team. A chance to shape the future of credit using the latest tools in data and machine learning. A collaborative, diverse, flexible culture that values growth, ownership, and doing the right thing for our customers. Position yourself at the forefront of the financial services revolution. Exceptional promotion opportunities from rapid company growth.
What we offer
Hybrid with 3 days a week in the office. 25 days’ holiday a year, plus 8 bank holidays. 2 paid volunteering days per year. One month paid sabbatical after 4 years. Free gym membership. Team wellness budget to be active together – set up a yoga class, a tennis lesson or go bouldering.
Scheme details
Our graduate scheme runs for one year, with the opportunity to convert to a permanent role based on performance. Start date: Late September – Early October 2026 (TBC).
Graduate Data Scientist employer: Abound
Join a dynamic fintech company in London where you'll engage in meaningful, high-impact work from day one as a Graduate Data Scientist. With a collaborative and diverse culture that prioritises growth and ownership, you'll learn from experienced professionals while contributing to innovative projects in AI and machine learning. Enjoy exceptional promotion opportunities, a hybrid work model, generous holiday allowances, and unique wellness initiatives that foster both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and any tips they might have for landing a role in the Data Science team.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and data science concepts. Practice coding challenges and be ready to discuss how you've used tech to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate Data Scientist role. Highlight your programming skills, especially in Python, and any relevant projects or coursework that showcase your ability to solve complex problems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about financial technology and how you can contribute to our team. Share specific examples of your work or studies that demonstrate your interest in AI and machine learning.
Showcase Your Communication Skills:Since you'll be working in cross-functional teams, it's important to highlight your strong communication skills. Mention any experiences where you've successfully collaborated with others or explained complex concepts in simple terms.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Abound
✨Know Your Tech
Brush up on your programming skills, especially in Python. Be ready to discuss any projects you've worked on that involved AI or machine learning. This is your chance to show how you can apply your technical knowledge to real-world problems.
✨Understand the Business
Familiarise yourself with the fintech landscape and how data science plays a role in it. Research the company’s products and think about how your work could impact customer experience and business outcomes. This will help you connect your technical skills to their commercial goals.
✨Show Your Passion for Learning
Emphasise your eagerness to learn and grow within the role. Share examples of how you've taken initiative in your studies or previous roles to develop new skills. This aligns perfectly with their focus on growth and learning by doing.
✨Communicate Effectively
Prepare to demonstrate your communication skills, especially in cross-functional settings. Think of examples where you've successfully collaborated with others, and be ready to explain complex concepts in simple terms. This will highlight your ability to work well in diverse teams.
