1. 3-5 Years 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 modelling 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. Someone with strong interest in data engineering aspect of ML is highly preferred.
Behavioural Competencies :
- Builds trust
- Honest and fair
- Interpersonal skills
- Positive attitude
- Productive
- Takes responsibility and makes effective decisions
- Problem solving
- Planned and organized
Language skills required : English (Fluent)
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