Manager/Senior Manager - Data Scientist/Computer Vision

Role Overview:

- 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, Computer Vision 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.

Key Responsibilities & Skillsets:

Common Skillsets:

- 3-8 years of experience in transformation, analytics, ETL, Python and associated data management.

- Deep rooted knowledge and understanding of analytics tools (Python, R), advance frameworks (tensorflow/pytorch), Deep Learning models, Image analytics libraries and technique (OpenCV, Skimage, Object Detection, Image Segmentation and Image classification algorithms)

- Must have consulting back ground 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

Data Management Skillsets:

- Strong familiarity with advanced analytics (Python, R), and related software applications

- Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.

- Strong ability to translate functional specifications / requirements to technical requirements

- Exposure to Cloud data management and AWS services (Preferred)

Candidate Profile:

- Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas

- Data analysis experience

- Superior analytical and problem solving skills

- Outstanding written and verbal communication skills

- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges