GENPACT - NLP Data Scientist - Predictive Analytics (4-10 yrs)

NLP Data Scientist

- Inviting applications for the role of Lead Consultant-Data Scientist!

Responsibilities :

- Work towards developing skills for the larger Analytics team in predictive analytics area through coaching and training.

- Work independently with clients, business development team and lead projects/relationship

- Lead pilot projects for various existing clients under guidance of lead data scientist and ensure timely meeting of milestones.

- Work with Project lead to develop advance analytical capabilities and assets

- Apply standard and cutting-edge techniques (statistical modelling, Bayesian, data mining, predictive analytics, machine learning, text mining, segmentation/clustering and optimization) to identify drivers of a business metric in areas of Claims and Underwriting.

- Plan & strategize modelling initiatives, drive productivity, build customer relationship and improve engagement.

- Strong NLP Experience is must

Preferred Qualifications :

- Strong analytical skills with a solid understanding of statistics and predictive modeling.

- Experience in the following predictive modeling techniques - GLM, Linear Regression, Survival Analysis, Time Series, Segmentation/Cluster Analysis, Decision Trees & Random Forests

- Well versed with Python/ETL/SQL and Data science experience.

- Advanced proficiency with Microsoft Excel, including VBA, is required

- Basic database skills, including SQL and ability to pull together disparate data sources. SSRS / SSIS Experience

- Should have skills to analyze data and provide insights on trends, patterns, etc. which will be critical to the business

- Ability to establish priorities and handle multiple assignments concurrently with minimal direction in an evolving, fast paced work environment

- Demonstrate ability to work independently and in a team environment

- Self-disciplined and results oriented

- Ability to communicate effectively both orally and in writing with various levels of management, including translating complex ideas and data into actionable steps for business units

- Data Quality, Metadata Management and Data Governance

- Hand on experience with one of the cloud technologies (AWS, Azure, GCP).

- Mature outlook and upholds high standards of professional integrity