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- Tasks: Enhance lending decisions using data science and AI to drive commercial analysis.
- Company: Join a growing fintech lending business in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with senior leaders in a dynamic and supportive environment.
- Why this job: Make a real impact on strategy while shaping the future of data science in fintech.
- Qualifications: 3-5 years of data science experience and a strong commercial mindset.
The predicted salary is between 60000 - 80000 £ per year.
Intellect Group is hiring a Senior/Lead Data Scientist in London to enhance lending decisions and commercial analysis. This role requires 3–5 years of experience, strong data science skills, and a commercial mindset. You'll work closely with senior leaders, applying data science and AI to improve decision-making processes. This is a chance to impact strategy while shaping the data science capability within a growing fintech lending business.
Senior Data Scientist, Fintech Lending (Hybrid) in London employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Fintech Lending (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working at Intellect Group. A friendly chat can open doors and give you insights that might just help you land that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to lending or finance. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. Be ready to discuss how you've used data to drive decisions in previous roles, as this is key for the commercial mindset they’re looking for.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist, Fintech Lending (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science skills and relevant experience in fintech lending. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to enhancing lending decisions at Intellect Group. Let us know what excites you about this opportunity!
Showcase Your Commercial Mindset: In your application, emphasise your understanding of commercial analysis and decision-making processes. We’re looking for someone who can not only crunch numbers but also think strategically about how data impacts business outcomes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Intellect Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills before the interview. Be ready to discuss your experience with machine learning, statistical analysis, and any relevant tools or programming languages. Intellect Group will want to see how you can apply these skills to enhance lending decisions.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially in lending. Research current trends, challenges, and innovations. This knowledge will help you demonstrate a commercial mindset and show that you're not just a data whiz but also understand the business context.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data science. Think about past projects where you've made impactful decisions based on data. Be ready to explain your thought process and how your contributions shaped outcomes.
✨Showcase Your Collaboration Skills
Since you'll be working closely with senior leaders, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated with cross-functional teams in the past, and how you can bridge the gap between data science and business strategy.