Data Scientist

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS
239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default). With data becoming the new "oxygen" of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'.

The true measure of success is to be able to put the data science insights into actionable events. Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution – with minimal to no returns.

Role:
Data Scientist

Location:

Madison, WI

Full Time (Direct Hire)

• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression – are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• MS in AI/Data Science would also be a plus.

Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning

Madison, WI