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- Tasks: Use data analysis and machine learning to optimise lending offers and boost user conversion.
- Company: Dynamic financial tech company based in London, focused on innovation.
- Benefits: Competitive salary, flexible working hours, and professional development opportunities.
- Why this job: Join a team that makes a real impact in the fintech space with your data skills.
- Qualifications: Strong background in probability, statistics, and proficiency in pandas and R.
The predicted salary is between 60000 - 80000 £ per year.
A financial technology company is seeking a Data Scientist for its Repeats team in London. The role focuses on supervised machine learning and data analysis to optimize lending strategies and enhance user conversion.
Candidates should have a strong background in probability and statistics, coupled with proficiency in tools like pandas and R.
The salary offers between £60,000 and £80,000 annually and a range of benefits including flexible working hours and professional development opportunities.
Data Scientist, Repeats Team: Optimize Lending Offers employer: Iwoca Ltd
Contact Detail:
Iwoca Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Repeats Team: Optimize Lending Offers
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the financial tech space, especially those in data roles. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and data analysis work. We want to see how you’ve used tools like pandas and R to solve real problems.
✨Tip Number 3
Ace the interview! Brush up on your probability and statistics knowledge, and be ready to discuss how you’d optimise lending strategies. We love candidates who can think critically and apply their skills practically.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit our culture.
We think you need these skills to ace Data Scientist, Repeats Team: Optimize Lending Offers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with supervised machine learning and data analysis. We want to see how your skills in probability, statistics, and tools like pandas and R can contribute to optimising lending strategies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can enhance user conversion. Be specific about your past experiences and how they relate to the role.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to analyse data and implement machine learning models. We love seeing practical applications of your skills.
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’re considered for this exciting opportunity on our Repeats team!
How to prepare for a job interview at Iwoca Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of probability and statistics. Be prepared to discuss how you've applied these concepts in previous projects, especially in supervised machine learning. Having specific examples ready will show your expertise and confidence.
✨Show Off Your Tool Skills
Familiarise yourself with pandas and R, as these are key tools for the role. During the interview, be ready to explain how you've used these tools to analyse data and optimise strategies. If possible, bring along a portfolio or examples of your work to demonstrate your proficiency.
✨Understand the Company’s Goals
Research the financial technology company and its lending strategies. Understanding their mission and how the Repeats team fits into that will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face some technical questions or case studies during the interview. Practice explaining your thought process clearly and logically. This will not only showcase your analytical skills but also your ability to communicate complex ideas effectively.
