Expected to work in close collaboration with the EXL team and clients on reporting, transformation & analytics projects
Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems
Data management and governance
Doing independent research, analyze, and present data as assigned
Managing the learning and development of new team members
Recruitment and retention management
Identify and participate in continuous improvement initiatives
Ensure compliance with Data Privacy and Protection Guidelines
Participate in business development activities
Experience in insurance preferred but not mandatory.

6-8 years of experience in reporting & transformation, analytics, dash boarding, ETL, Python and associated data management
Deep rooted knowledge and understanding of analytics tools (e.g. Python, R), machine learning and deep learning algorithms (e.g. neural networks), Text Analytics technique, Gen AI
Must have consulting background with structured thinking
Excellent communication & presentation skills with consultative mindset
Should be able to lead team independently and prepare/manage client ready deliverable
Able to understand cross cultural differences and can work with clients across the globe
Strong familiarity with advanced analytics (Python, R), BI tools (Tableau, Power BI) and related software applications
Good knowledge of database management and SQL, Python and ETL tools.
Strong ability to translate functional specifications / requirements to technical requirements
Exposure to Cloud data management and AWS services (Preferred)

Expected to work in close collaboration with the EXL team and clients on reporting, transformation & analytics projects
Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems
Data management and governance
Doing independent research, analyze, and present data as assigned
Managing the learning and development of new team members
Recruitment and retention management
Identify and participate in continuous improvement initiatives
Ensure compliance with Data Privacy and Protection Guidelines
Participate in business development activities
Experience in insurance preferred but not mandatory.

Data Scientist

Key skills