Ally Executive HR
Data Science Manager - Insurance Domain
Job Location
bangalore, India
Job Description
We are now seeking a candidate with 7 to 12 years of experience in data science, specifically within the life insurance sector. Below are the detailed requirements for the role : 1. Experience : - 7 to 9 years in data science, with a minimum of 5 to 6 years of hands-on experience in the life insurance domain. - This is an Individual Contributor (IC) role. While the candidate will guide and assist the team, they will not have direct team management responsibilities. 2. Skills and Background : - Strong statistical foundation, with academic qualifications in statistics. - Actuarial exam experience is preferred but not mandatory. - Demonstrated expertise in statistical analysis and data modelling. 3.Educational Background : - Candidates should ideally be from tier 2 or tier 3 colleges, with degrees in Statistics. 4. Job Description : Key responsibilities : - Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies. - Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models - Perform data visualization and reporting for effective communication of insights generated by modelling exercises - Develop basic database queries for data extraction - Ability to communicate models and analysis in a clear and precise manner. - Promote new learning and technique in the field of Data Science and its application in Insurance. - Perform peer reviews and ideation sessions. Experience & Qualifications : - Bachelor and/or master's in quantitative science or similar qualifications. - Experience of 6-8 years of model development, validation, and implementation. - Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning. - Proven track record on algorithm development for business problems. - Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series - Experience of Insurance and Actuarial Knowledge is a plus - Excellent communication and interpersonal skills, with the ability to explain complex algorithms to non-technical stakeholders. (ref:hirist.tech)
Location: bangalore, IN
Posted Date: 11/21/2024
Location: bangalore, IN
Posted Date: 11/21/2024
Contact Information
Contact | Human Resources Ally Executive HR |
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