AVP - Data Scientist

Role : Data Scientist

Skill : Python, SQL, Machine learning, Modeling, NLP, Computer vision

Location : Gurgaon

Role & Responsibilities Overview:

- Develop long-lasting, trusted advisor relationships with clients

- Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues

- Ensure Industry best practices are followed, Communicate and follow up with delivery team

- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it

- 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

Key Responsibilities & Skillsets :

- 8-12 years' experience, with at least 5 years in insurance analytics (preferably in P&C Insurance)

- Experience in working in dual shore engagement and must have experience in managing clients directly

- Competitor analysis, And data analysis to solve business problems

- Complete understanding and demonstrated experience of SAS, SQL, Visualization tools like Power BI/Tableau, Python 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

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

- Experience across different function of analytics value chain - Data Engineering, Reporting & Viz., Insight generations, Predictive modeling

- Experience in advance analytics - Pred mod, ML/AI/ NLP etc. using Python/R/SAS

Data Management Skillsets :

- Strong familiarity with advanced analytics (Python, R), and related software applications

- Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.

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

- Exposure to Cloud data management and AWS services (Preferred)