Data Scientist (Fresher)

• Company Dice
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Day to Day Responsibilities/typical day look like:

Will be evaluating data, coming up with models

Analyze and build a data lake of insurance information. Be able to determine risk vs. profit, KPIs, models to drive business decisions.

Ability to build artificial intelligence (eventually code and build into dashboards on platform)

Write in python or R (or both)

Statistical models, predictive analytics

Understand business and build out requirements to better predict outcomes (ex. Natural disasters)

White boarding and strategizing

Selling Points for Candidates:

• Working in a start-up feel environment
• Joining a company with a lot of potential growth
   

What are the top MUST HAVE technologies or Required experience of the position?

• 5-7 of dedicated data science experience
• AI/ML with Python or R
• SQL to pull data from databases
• Effective communicator/able to speak with C-levels
   

NICE TO HAVES (OR WHAT GETS THE WIN)?

• Insurance exp.
• Power BI