SAVP - Data Scientist - Data Science Team - Insurance Domain

Job Description

Role Overview:

- The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering/data science work.

- A typical work day will involve working with stakeholders in individual contributor role and upscaling the quality of team's deliverables.

- The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion

- A suitable candidate should have 8-10 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with aggressively changing environment.

- Experience in insurance preferred but not mandatory.

Key Responsibilities & Skillsets:

Common Skillsets:

- 8+ years of experience in analytics, machine learning, advanced statistical techniques, AI and data engineering jobs.

- Excellent communication & presentation skills

- Experience in managing Python codes and collaborating with customer on model evolution

- Excellent in project management, team management and conflict management skills

- Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).

- Superior analytical and problem solving skills

- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision

Data Management Skillsets:

- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred

- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).

- Strong ability to translate functional specifications / requirements to technical requirements

Candidate Profile:

- Bachelors/Master's degree in economics, mathematics, actuarial sciences, 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

- Strong and in-depth understanding of statistics

- Data analysis experience

- Superior analytical and problem solving skills

- Outstanding written and verbal communication skills

- Able to work in fast pace continuously evolving environment and ready to take up challenges

- Able to understand cross cultural differences and can work with clients across the globe