Candidate Profile:

- Bachelors/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

- Robust 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

📌 AVP-Data Scientist (Delhi)
🏢 Crescendo Global Leadership Hiring India
📍 Delhi