Senior Data Scientist – Retail and Consumer
Faculty
CaffeNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
Senior Data Scientist
Lendable
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
Python
About the role
- 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.
- 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.
Requirements
- Proven background in building models ideally in credit, lending, or other areas of financial services.
- Knowledge of machine learning techniques and their respective pros and cons.
- Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow.
- Familiarity with data used within credit risk decisioning such as Credit Bureau data, especially across multiple geographies is an advantage.
- Interest in problems related to the financial services domain - a knowledge of loan or credit card underwriting is advantageous.
- Experience mentoring or leading others.
Benefits
- Best-in-class compensation, including equity.
- You can work from home every Monday and Friday if you wish.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningcredit risk modellingdata extractiondata parsingdata cleaningdata transformationmodel buildingPythonMLFlow
Soft skills
communicationmentoringleadership
