Data Scientist

1. 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.

2. Need to be strong in concepts of statistical modeling - particularly looking for practical knowledge learnt from work experience (should be able to give - rule of thumb- answers)

3. Strong problem-solving skills and the ability to articulate really well.

4. Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to - live- in production.

5. Strong working knowledge of python ML stack is very important here.

6. Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.

7. Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our writing robust code.

8. Should have strong coding experience in Python or Pyspark