Deepanshi Jain
About Deepanshi Jain
Deepanshi Jain is an Actuarial Data Scientist with a strong background in actuarial science and mathematics. She currently leads a team at Milliman, specializing in modeling policyholder behavior for life insurance and annuity products.
Current Role as Actuarial Data Scientist
Currently, Deepanshi Jain works at Milliman as an Actuarial Data Scientist. She has held this position since 2022 in Delhi, India. In her role, she leads a team of actuarial data analysts. The team focuses on developing software products, including Recon GLWB, Recon IA, and Recon COVID. Jain specializes in modeling policyholder behavior specifically for life insurance and annuity products.
Previous Experience at Milliman
Deepanshi Jain has extensive experience at Milliman, having worked there in various capacities. She started as an Actuarial Intern in 2020 for six months in Gurgaon, Haryana. Following this internship, she served as an Actuarial Data Analyst from 2020 to 2022 for two years in Gurugram, Haryana, India. Her roles at Milliman have contributed to her expertise in actuarial science and data analysis.
Education and Academic Background
Deepanshi Jain has a solid educational foundation in mathematics and actuarial science. She studied at the Institute and Faculty of Actuaries (IFoA) in the UK, focusing on Actuarial Science. Jain earned her Bachelor of Science degree in Mathematics Honours from Kirori Mal College, Delhi University, from 2016 to 2019. She completed her Senior Secondary education at Prestige Convent School from 2003 to 2014 and attended DAV Public School for her High School education from 2014 to 2016.
Internship Experience in Data Analysis
Before her tenure at Milliman, Deepanshi Jain gained practical experience through various internships. In 2019, she worked as a Data Analyst Intern at Abacus Management Consultants Pvt. Ltd. for two months. Additionally, she held a position at Takenmind Organisation as a Data Analytics intern for one month in 2019. These experiences helped her develop skills in data analysis and programming.
Technical Skills and Proficiencies
Deepanshi Jain combines her actuarial knowledge with a strong background in mathematics and communication skills. She is proficient in several programming languages and tools, including R, Python, SQL, and Spark. These technical skills enable her to effectively analyze data and model complex actuarial scenarios.