Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Responsibilities
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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