Senior Data Scientist - US Products

Senior Data Scientist - US Products

Full-Time 60000 - 80000 € / year (est.) No home office possible
Lendable

At a Glance

  • Tasks: Build and deploy machine learning models to drive business success in fintech.
  • Company: Join Lendable, a leading fintech unicorn with a collaborative culture.
  • Benefits: Best-in-class compensation, equity, remote work options, and health insurance.
  • Other info: Dynamic team environment with opportunities for mentorship and career growth.
  • Why this job: Make a real impact in the financial services industry with innovative technology.
  • Qualifications: Experience in machine learning, Python, and financial services preferred.

The predicted salary is between 60000 - 80000 € per year.

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 600 people
  • Among the fastest-growing tech companies in the UK
  • Profitable since 2017
  • Backed by top investors including Balderton Capital and Goldman Sachs
  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

Join us if you want to:

  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
  • Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About the Role

We are excited to be hiring a new Senior Data Scientist for our team! Ideally, this role will suit someone with a proven background in building models ideally in credit, lending, or other areas of financial services. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. This role will primarily focus on our US unsecured loans and credit cards business.

Our team’s objectives:

  • The data science team develops proprietary machine learning models combining state‑of‑the‑art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency.
  • Research new data sources and unstructured data representation.
  • Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
  • Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs.
  • Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.

How You’ll Impact Those Objectives:

  • Use your expertise to build and deploy models that contribute to the success of the business.
  • Stay up to date with the latest advancements in machine learning and credit risk modelling proactively proposing new approaches and projects that drive innovation.
  • Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling.
  • Extract, parse, clean and transform data for use in machine learning.
  • Clearly communicate results to stakeholders through verbal and written communication.
  • Mentor other data scientists and promote best practices throughout the team and business.

Key Skills:

  • Knowledge of machine learning techniques and their respective pros and cons.
  • Ability to communicate sophisticated topics clearly and concisely.
  • Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow.
  • Curiosity, creativity, resourcefulness and a collaborative spirit.
  • Interest in problems related to the financial services domain - a knowledge of loan or credit card underwriting is advantageous.
  • Confident communicator and contributes effectively within a team environment.
  • Experience mentoring or leading others.
  • Self-driven and willing to lead on projects / new initiatives.

Familiarity with data used within credit risk decisioning such as Credit Bureau data, especially across multiple geographies is an advantage.

The interview process:

  • A quick phone call with the people team
  • Interview with hiring manager
  • Take home task
  • Task debrief
  • Case study interview
  • In person interview where you'll do your final round and have some lunch with the team

Life at Lendable:

  • The opportunity to scale up one of the world’s most successful fintech companies.
  • Best‑in‑class compensation, including equity.
  • You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
  • Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday‑Thursday.
  • We care for our Lendies’ well‑being both physically and mentally, so we offer coverage when it comes to private health insurance.
  • We’re an equal‑opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.

Senior Data Scientist - US Products employer: Lendable

Lendable is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among a talented team of over 600 professionals. With a strong focus on employee growth, you will have the opportunity to take ownership of impactful projects while enjoying best-in-class compensation, including equity, and flexible working arrangements. Located in Shoreditch, London, our office provides a vibrant environment with a fully stocked kitchen and a commitment to employee well-being, making it an ideal place for those seeking meaningful and rewarding employment in the fintech sector.

Lendable

Contact Detail:

Lendable Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist - US Products

Tip Number 1

Network like a pro! Reach out to current employees at Lendable on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Prepare for the interview by brushing up on your machine learning knowledge. Be ready to discuss how you've used models in past projects, especially in financial services.

Tip Number 3

Show off your problem-solving skills! During the case study interview, think aloud and explain your thought process. They want to see how you tackle challenges.

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 the team.

We think you need these skills to ace Senior Data Scientist - US Products

Machine Learning Techniques
Python Programming
Experiment Tracking Tools (e.g., MLFlow)
Data Extraction and Transformation
Credit Risk Modelling
Communication Skills
Mentoring and Leadership

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, credit risk modelling, and any relevant projects you've worked on. 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 tell us why you're passionate about fintech and how you can contribute to our mission at Lendable. Be genuine and let your personality come through – we love that!

Showcase Your Projects:If you've built any models or worked on interesting data science projects, make sure to mention them in your application. We’re keen to see your hands-on experience and how you’ve tackled real-world problems in the financial services domain.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re serious about joining our team at Lendable!

How to prepare for a job interview at Lendable

Know Your Data Science Stuff

Make sure you brush up on your machine learning techniques and their applications in credit risk modelling. Be ready to discuss specific models you've built, the challenges you faced, and how you overcame them. This will show that you not only have the technical skills but also the practical experience needed for the role.

Understand Lendable's Mission

Familiarise yourself with Lendable's mission to help people get credit and save money. Think about how your skills can contribute to this goal, especially in the context of US unsecured loans and credit cards. Showing that you align with their vision will make a strong impression.

Prepare for Case Studies

Since there’s a case study interview involved, practice solving real-world data problems. Think about how you would approach a credit risk scenario, what data you would need, and how you would communicate your findings. This will demonstrate your analytical thinking and problem-solving abilities.

Show Off Your Communication Skills

Be prepared to clearly explain complex data science concepts to non-technical stakeholders. Practice summarising your past projects and results in a way that anyone can understand. This is crucial, as effective communication is key to collaborating with various teams at Lendable.