Job Description

Data Scientist Pricing (4- 6 years) - Python - Bangalore

Here is an exciting opportunity for the position of Data Scientist Pricing. The ideal candidate would be the one with an expertise in Data Wrangling and Predictive modelling, statistical and analytical model development with knowledge in commercial Insurance products and actuarial pricing. Machine Learning, SQL, Data science domain.

Location :- Bangalore

YOUR FUTURE EMPLOYER :- A global leader in Business process management headquartered in Mumbai with presence across 4 continents and 16 nations on the globe.

ROLES & RESPONSIBILITIES :-

• Ensuring quality control processes & validating data

• Technical contributions to accelerate efforts on building an analytics-driven product pipeline.

• Performing statistical analysis, computer programming, predictive modeling and experimental design.

• Building cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community

• Developing reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators

REQUIREMENTS :-

• In depth knowledge of R, SAS, Python, Data modelling techniques and tools .

• Hand on expertise in machine learning techniques & related disciplines.

• Knowledge of commercial insurance products such as Auto, WC, property, GL Umbrella and Actuarial pricing.

• Data wrangling and predictive modelling such as GBM, GLM & Lasso. . Expertise in data management using SQL.

• Understanding of data science domain, statistical and analytical model development and implementation.

Reach Us- If this sounds interesting to you, share your profile at india@crescendogroup.in

Disclaimer: Crescendo Global is an ISO 9001:2015 certified Leadership Hiring consulting arm of Crescendo Group with expertise in mid to senior-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.