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- Tasks: Design and deploy cutting-edge machine learning models for US loans and credit cards.
- Company: Join Lendable.co.uk, a £3.5bn fintech unicorn backed by Goldman Sachs.
- Benefits: Enjoy equity, hybrid work, and gourmet lunches in a vibrant London office.
- Why this job: Make a real impact in a profitable unicorn with full model ownership.
- Qualifications: Experience in building commercial ML models and strong Python skills required.
- Other info: Lead initiatives and mentor junior data scientists in a dynamic environment.
The predicted salary is between 70000 - 90000 £ per year.
Join a high-performing data science team at the core of a £3.5bn fintech leader. You will own the end-to-end development of proprietary machine learning models that power real-rate, risk-based pricing for US loans and credit cards. This role offers full autonomy to build, deploy, and monitor models using state-of-the-art ML techniques.
Why this role is remarkable:
- Work at the heart of a profitable unicorn valued at £3.5bn, backed by premier investors like Goldman Sachs, Balderton, and Ontario Teachers' Pension Plan.
- Benefit from a culture of full model ownership, moving beyond research to ship production-level ML models that directly drive the company's core competitive advantage.
- Enjoy premium perks including equity, hybrid flexibility, and fresh gourmet lunches prepared by in-house chefs three days a week in a central London office.
What you will do:
- Design, build, and deploy sophisticated credit risk and underwriting models for the US market using Python and experiment tracking tools like MLFlow.
- Extract, clean, and transform complex datasets from various sources, including global Credit Bureau data, to improve model accuracy and operational efficiency.
- Lead cross-functional initiatives and mentor junior data scientists, translating complex business challenges into actionable data science solutions for senior stakeholders.
The ideal candidate:
- Proven experience building and shipping commercial machine learning models in production environments, ideally within credit, lending, or financial services.
- High proficiency in Python and the modern ML stack, with a strong grasp of the trade-offs between different machine learning architectures and algorithms.
- Excellent communication skills with the ability to lead projects independently and explain sophisticated technical concepts to non-technical business partners.
Senior Data Scientist at Lendable.co.uk employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist at Lendable.co.uk
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lendable.co.uk on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge. We should be ready to discuss our past projects and how they relate to the role. Practice explaining complex concepts in simple terms – it’ll impress those non-tech stakeholders!
✨Tip Number 3
Showcase our passion for data science! During interviews, share examples of how we’ve used data to solve real-world problems. This will demonstrate our ability to translate business challenges into actionable solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight the skills that matter most for the Senior Data Scientist role.
We think you need these skills to ace Senior Data Scientist at Lendable.co.uk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning models, especially in credit or financial services. We want to see how your skills align with what we do at Lendable!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: When detailing your experience, focus on your proficiency in Python and any ML tools you've used, like MLFlow. We love seeing specific examples of how you've built and deployed models, so don't hold back!
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 the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Jack and Jill AI
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've built in detail. Be ready to explain your thought process, the algorithms you chose, and why they were effective for the specific problems you tackled.
✨Showcase Your Data Skills
Prepare to talk about your experience with data extraction, cleaning, and transformation. Bring examples of how you've improved model accuracy through data manipulation, especially using tools like Python and MLFlow.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with non-technical stakeholders, so think of ways to make your past projects relatable.
✨Be Ready for Real-World Scenarios
Expect scenario-based questions where you'll need to apply your knowledge to solve business challenges. Brush up on your problem-solving skills and be prepared to discuss how you would approach real-world data science issues at Lendable.