Analytics Engineer-Machine Learning- Powai
Analytics Engineer-Machine Learning
About Company :
It is AI platform that enables Insurers to deliver superior customer experience to their consumers, leading to greater customer retention, loyalty and lifetime value. We do this by leveraging AI & Machine learning technologies and delivering the actionable insights at the Point of Decision. With powerful features, an easy to use interface, and a subscription-based pricing model. Cloud-based Analytics products enable Insurance Carriers of all sizes to leverage vast amounts of internal and external data to deliver a superior experience to their customers.
Location : Mumbai
Experience : 3 – 5 Years
Function : Analytics
Vacancy : 3
Job Description :
• Strong understanding of the concepts of probability, statistics and machine learning
• 3-5+ years’ hands-on experience in insurance or banking domain with respect to using analytics (statistical modelling / machine learning) for solving business problems
• Experience of working closely with business users to understand their requirements and suggest Data Science based solutions to solve business problems
• In-depth understanding of algorithms like linear and logistic regression, decision trees, random forest, gradient boosting, clustering, time series forecasting, and experience of using them to solve real-world problems
• A flair for programming with a tool like R or SAS
• Exposure to Big Data technologies like Hadoop / MapReduce
• Exposure to natural language processing; operations research and optimization will be a plus
• Create Data Science based solutions for solving business problems
• Interact with customers
• Mentor and handhold junior team members
• Team Management
• 3-5+ years’ hands-on experience in insurance or banking domain with respect to using analytics (statistical modelling / machine learning) for solving business problems
• Experience of working closely with business users to understand their requirements and suggest Data Science based solutions to solve business problems
• In-depth understanding of algorithms like linear and logistic regression, decision trees, random forest, gradient boosting, clustering, time series forecasting, and experience of using them to solve real-world problems
• A flair for programming with a tool like R or SAS
• Exposure to Big Data technologies like Hadoop / MapReduce
• Exposure to natural language processing; operations research and optimization will be a plus
• Create Data Science based solutions for solving business problems
• Interact with customers
• Mentor and handhold junior team members
• Team Management
Qualification : • Bachelor’s degree in Engineering / Statistics / Economics / Mathematics
Working Days : 5 Days a Week (10:30 AM to 7:00 PM)
Job Nature : Full Time
For more details request you to connect us on +91-7353768901
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