- 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
Skills Required
- Bachelor's or Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics field
- 12+ years core analytics experience including Data Science, Gen-AI, Large Language Models, prompt engineering, embeddings, RAG, vector databases
- Proven consulting/implementation experience, preferably with Life Insurance clients
- Working knowledge of MLOps and model lifecycle practices (deployment, monitoring, drift detection, retraining)
- Experience with MLOps/tools such as MLflow, Airflow, Docker, Kubernetes or cloud-native ML platforms
- Hands-on experience with Python and SQL
- Experience with visualization and reporting tools: Tableau and Power BI
- Experience with cloud data storage and analytics: Snowflake, Amazon S3, ADLS Gen2
- Experience in Databricks and data engineering practices
- Experience managing dual-shore engagements and direct client management
- Managerial experience leading analytics teams including hiring, training, and career management of offshore staff
- Outstanding written and verbal communication and demonstrated leadership ability
- Ability to work in a fast-paced, evolving environment and handle cross-cultural client interactions
- Experience on any cloud (AWS/Azure/GCP)
- Experience working with Microsoft Fabric
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
