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Engagement Manager (Data Science)

EXLGurugram🇮🇳India

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationGurugram, India
RecruitingDockerGCPSQLAWSMLOpsMLflowSnowflakeTableauAirflowDatabricksPythonAzureKubernetesPower BIPrompt EngineeringRAG

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.
  • 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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