
Team Lead Analytics and Data Science
1 day ago
Job Title: Team Lead Analytics and Data Science
Department: Analytics and Data Science (ADS)
Location: Chennai, Bangalore & Noida preferred
Collaborative teams: Organization-wide
Oh, the things youll do:
- We predict credit risk and other key metrics using machine learning (ML) models – this will be one of your key tasks, where you will build these and work with stakeholders to implement them in a timely and accurate manner
- You will also work on other underwriting rules and optimize them
- Once these are implemented, you will help monitor the portfolio and suggest corrections where necessary
- You will evaluate other data sources to improve these models
- We do not just work on underwriting – the team provides analytics support across the organization, and you will be involved in this work
- You will run controlled tests based on Design of Experiments principle to add value to the business – this involves critical thinking
- You will mentor junior members and help them grow
What you need to bring to the table-
- You should have built machine learning models and have good knowledge of statistics
- You should have good understanding of the underlying details about how the machine learning models work
- We expect you to have the ability to work independently on projects end-to-end starting with formulating problem statements, identifying solutions to the problems, breaking the solution into smaller tasks, and do hands on analysis of data to arrive at the solution
- We need someone who has programmed before – in R or Python or SQL etc. If you can program well in any language, we feel you can pick up another easily.
- Are you a critical thinker with good problem solving skills? We do not just build ML models using pre-packaged tools – that is a good skill to have but does not make you a rounded data scientist. In your job, you may just be asked a high level, poorly defined question – your job will involve understanding context, bounding the problem, forming hypotheses and delving into the data and coming up with a solution. Have you done that? Are you confident of doing that?
- Can you understand your problem well enough that you can convey the key message to a lay person through presentations and other means?
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