Lead Assistant Manager/Manager/Senior Manager - Data Science - Consulting Firm

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