Engagement Manager (Data Science)

Fa Ewjt Saasfaprod1; Gurugram District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Fa Ewjt Saasfaprod1 is seeking a senior analytics leader to guide multi-disciplinary teams in data modeling, manipulation, visualization, and predictive modeling across the Insurance Value Chain. You will drive reporting automation, lead client sessions, and ensure delivery excellence in a fast-paced environment.

The role requires 12+ years in core analytics, strong leadership, and hands-on expertise with Python/SQL, Tableau/Power BI, and cloud data platforms (Snowflake/S3/ADLS Gen2).

Qualifications

• Bachelor’s or master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas.
• 12+ years core analytics experience including data science, Gen-AI, LLMs, embeddings, retrieval-augmented generation, vector databases, ML-AI model development, data engineering and Databricks with consulting/implementation exposure.
• Knowledge of MLOps and model lifecycle practices (deployment, monitoring, drift detection, retraining) and tools like MLflow, Airflow, Docker, Kubernetes.
• Experience with any cloud (AWS/Azure/GCP) is a plus.
• Experience with Microsoft Fabric is a plus.
• Experience in dual-shore engagements and direct client management.
• Proficiency in Python, SQL, Tableau, Power BI and cloud storage like Snowflake/S3/ADLS Gen2.

Responsibilities

• Provide technical direction to project team across data modeling, data manipulation, visualization, predictive modeling, reporting and automation for Insurance Value Chain projects.
• Facilitate client sessions and lead recurring project status meetings.
• Manage day-to-day project operations and act as the functional/domain expert to meet client expectations.

Skills

Data modeling

Data manipulation

Visualization

Predictive modeling

Reporting & automation

Education

Bachelor’s/Master’s in economics, mathematics, CS/engineering, OR operations research

Tools

MLflow

Airflow

Docker

Kubernetes

Snowflake

S3/ADLS Gen2

Tableau

Power BI

Databricks

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