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ML hands on experience – Should have hands on experience of working on ML projects end to end. Good understanding of machine learning libraries in python, py-spark like MLlib, Scikit learn etc. People with prior experience of working advanced ML techniques like – GBM, X-G boost are required. Banking Experience – Should have sound understanding of banking terminologies from risk and operations side. People with prior experience with collections models/strategy are preferred. People worked in US banking with MRMG requirements is necessary. Data Wrangling – Should be comfortable with data fetching in SQL, python - numpy, pandas, matplotlib and Py-Spark etc. from Hadoop and SQL server. Ability to work with the large data-sets in an efficient manner. Should have a knack to take care of the quality of data prepared. Basic Statistics and ML knowledge – Should have conceptual understanding of basic statistical topics and should be aware of advanced ML models evaluation techniques. People with prior experience in production ready models are preferable.
Key Skills
Ranked by relevance
python
spark
sql
machine learning
scikit learn
sql server
matplotlib
server
pandas
hadoop
numpy
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- Posted
- May 07, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Gurugram
- Company
- EXL
Industries
Business Consulting
Services
Categories
Other
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