What are we looking for

We are looking for candidates with 8+ years of data analytics, ML and predictive modelling experience. The candidate would work on real-life problem in sales analytics and interact with senior leadership to drive analytics solutions & implementation. The candidate would perform statistical analytics, develop predictive models, and lead these to implementation. This role requires a good command in Python and SQL and preferably experience of AWS ML ecosystem.

What does the job entail

Perform data analysis and develop predictive models/ generate data insights for sales channels
Work with channel teams to understand business and identify opportunities to improve using analytics
Translate business problems into analytics problem statement
Execute analytics project from data analysis, feature engineering, model development through implementation & tracking
Follow model governance guidelines and best practices
Strong presentation skills
Mentor Junior Team members

Candidate Requirements:

Experience in executing several data science and predictive modelling projects, preferably in financial services, or sales and marketing
Education: Graduate / Post Graduate (Engineering / Statistics / Economics or similar subjects)
Worked with business teams in identifying analytics opportunities, formulated problem statement and presented results
Delivered projects using ML techniques: GLM/ Regression, Clustering, Decision Tree, Boosting, etc.
Proficiency in Python (scikit-learn, pandas) and SQL
Proficient in verbal and written communication

Preferred Knowledge / Type of Experience / Certifications :

Preferably experience of AWS ecosystem - Athena, Sagemaker

Role: Manager - Data Science

Industry Type: Insurance

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Any Specialization

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