Engagement Manager Data Science

EXL; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EXL is seeking an experienced analytics leader in Gurugram to guide data modeling, ML/AI initiatives, and reporting across the Insurance Value Chain. You will own project outcomes, drive technical direction, and ensure client satisfaction through strong stakeholder management.

Qualifications include 12+ years in core analytics, expertise in Python/SQL/Tableau/Power BI, and experience with cloud platforms and MLOps. Strong leadership and cross‑cultural collaboration are essential.

Qualifications

• Bachelor’s/master’s degree in analytics or related fields.
• 12+ years of core analytics experience, preferably with life insurance clients.
• Experience with cloud, MLOps, and model lifecycle practices.

Responsibilities

• Provide technical direction across data modeling, visualization, predictive modeling, and automation projects.
• Facilitate client sessions and lead project status meetings.
• Manage day-to-day project operations and ensure client expectations are met.

Skills

Data modeling

Data manipulation

Visualization

Predictive modeling

Reporting and automation

Education

Analytics degree (Economics/Mathematics/CS/Engineering/OR)

Tools

MLflow

Airflow

Docker

Kubernetes

Snowflake

Cloud platforms (AWS/Azure/GCP)

Job description

Job Description:

• Provide technical direction to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain
• Facilitate client working sessions and lead recurring project status meetings
• Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations.

Responsibilities

• Bachelor’s/master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• 12+ years’ Core Analytics experience (Data Science, Gen-AI,Large Language Models, including prompt engineering, embeddings, Retrieval-Augmented Generation, vector databases, and model evaluation, ML-AI Model Development, Data Engineering, Databricks) with prior Consulting/Implementation Experience preferably with Life Insurance Clients.
• Working knowledge of MLOps and model lifecycle practices, including model deployment support, monitoring, drift detection, retraining, and tools such as MLflow, Airflow, Docker, Kubernetes, or cloud-native ML platforms.
• Experience on any cloud (AWS / Azure/ GCP), is an added advantage.
• Experience working with Microsoft Fabric is a plus.
• Experience in working in dual shore engagement and must have experience in managing clients directly
• Complete understanding and demonstrated experience of Python, SQL, Tableau, Power BI and Could Data Storage Solutions like Snowflake/S3/ADLS Gen2 and various modeling techniques
• Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting.
• Demonstrated leadership ability and willingness to take initiative
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Can understand cross cultural differences and can work with clients across the globe

Qualifications

• Bachelor’s/master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Requirements: