Job Description
Job Description
Roles and responsibilities
The candidate will be responsible for developing predictive models using wide range of data sources (both structured and unstructured)
The ideal candidate should possess good communication and can communicate effectively with the team
Technical expertise
The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation of predictive models
Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM, Deep learning etc.
They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction
Tools experience - Python (mandatory), R (preferred)
Experience processing large amount of data using BigData technologies is preferred
Experience working on Dataiku will be an added advantage
Functional/Other expertise
Good exposure to BFSI domain especially insurance
Educational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions
Relevant Experience: 4 8 years of hands on experience in developing predictive models
Qualifications
Graduate/Post-Graduate
Additional information
Should be able to manage Risk & Governance
Manage client relationships
Insurance Domain preferred
Should have worked hands on as Sr ETL Lead
Employement Category:
Employement Type: Full time
Industry: KPO
Functional Area: Analytics
Role Category: Other Analytics
Role/Responsibilies: Predictive Modeler
Contact Details:
Company: WNS Global Services
Location(s): Mumbai