At a Glance
- Tasks: Work on exciting AI and Machine Learning projects to enhance automated lending decisions.
- Company: Join a fast-growing fintech company in London with a collaborative culture.
- Benefits: Enjoy 25 days holiday, free gym membership, and great promotion opportunities.
- Other info: Experience a hybrid work model and be part of a dynamic team.
- Why this job: Make a real impact in the fintech world while gaining hands-on experience.
- Qualifications: Recent graduates with a passion for data science and technology.
The predicted salary is between 28000 - 38000 £ per year.
Abound is seeking recent graduates for their Data Science graduate scheme, designed to provide hands-on experience with significant projects in AI and Machine Learning. As part of a fast-growing fintech in London, you will work on enhancing automated lending decisions and contribute to product development.
The role offers a hybrid work model, meaningful projects, and exposure to financial technology. You'll join a collaborative team and benefit from various perks including 25 days holiday, free gym membership, and exceptional promotion opportunities.
Graduate Data Scientist — FinTech AI & Credit Analytics in London employer: Abound
Abound is an exceptional employer for recent graduates, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong focus on employee growth, you will engage in meaningful projects that enhance your skills in AI and Machine Learning while enjoying a hybrid work model, generous holiday allowance, and perks like free gym membership. Join a collaborative team that values your contributions and provides exceptional promotion opportunities, making it an ideal place to kickstart your career in fintech.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist — FinTech AI & Credit Analytics in London
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the fintech space on LinkedIn. A friendly chat can open doors and give you insights into the industry.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to AI and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data science. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find opportunities that match your skills and interests. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Graduate Data Scientist — FinTech AI & Credit Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Graduate Data Scientist. Highlight any relevant projects or coursework in AI and Machine Learning that you've done during your studies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about fintech and how you can contribute to enhancing automated lending decisions. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects:If you've worked on any significant data science projects, make sure to showcase them in your application. Whether it's a university project or something you've done independently, we love seeing practical experience that demonstrates your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Abound
✨Know Your Data Science Basics
Brush up on your fundamental data science concepts, especially those related to AI and Machine Learning. Be prepared to discuss algorithms, data manipulation, and statistical methods, as these are likely to come up during the interview.
✨Showcase Relevant Projects
Have a couple of projects ready to discuss that highlight your skills in data analysis and machine learning. Whether it's a university project or a personal endeavour, be ready to explain your thought process, the tools you used, and the outcomes.
✨Understand FinTech Trends
Familiarise yourself with current trends in the fintech industry, particularly around automated lending and credit analytics. Being able to discuss how these trends impact the role will show your genuine interest and understanding of the field.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the projects you'll be working on, and the company culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
