Data Science Analyst

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 Masters in Statistics/Economics/Operations Research from Tier 1 colleges. Experience of 7-10 years of data science experience with alteast 4-6 years of experience in life insurance experience in model development, validation, and implementation with atleast 4 years of Insurance Experience Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning. Actuarial Exams is a plus Proven track record on algorithm development for business problems. Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series Excellent communication and interpersonal skills, with the ability to explain complex algorithms to nontechnical stakeholders.