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Engagement Manager (Data Science)
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Salary
≈ $32k – $55k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Principal · 12+ years exp
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 19, 2026. EXL scores B on the Alion truth index.
Overview
Company
Impact
Profile match
EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
- 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.
- 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
- 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
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