Data Science: Lead Assistant Manager/Manager/Senior Manager
Role & Responsibilities Overview:
- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
- Develop long-lasting, trusted advisor relationships with clients
- Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
- Ensure Industry best practices are followed, Communicate and follow up with delivery team
- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
- Facilitate client working sessions and lead recurring project status meetings
- A typical work day will involve working with stakeholders as individual contributor.
Candidate Profile:
- Bachelor's/Master's degree in Economics, Mathematics, Computer Science/engineering or related Analytics areas
- 4+ years of experience in Advanced Analytics/Predictive Modeling.
- Must have experience in managing clients directly
- Experience in HR Analytics is a plus
- Good analytical and problem-solving skills
- Should be able to work on a problem independently and prepare client ready deliverables.
- Complete understanding and demonstrated experience of Python and various modeling techniques
- Experience in advanced analytics / Machine learning / statistical / data mining / Text mining techniques
- Experience in developing and deploying Machine Learning models (Regression, Classification, tree based algorithms, clustering and Natural Language Processing).
- Extensive experience with Python packages for data analysis (pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn)
- Effective at building SQL queries
- Use of visualization in Python using matplotlib or PowerPoint/Excel
- Experience in Time series, Network or Graph analysis, Large Language models/Transformers/chatbots is good to have
- Experience with cloud computing and cloud based tools like Databricks is good to have
- Follow industry best practices for Python coding and model development and deployment
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Strong ability to distill technical findings and share insights
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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