Milliman invites applications for Internships as an Actuarial Intern at Milliman New Delhi, with minimum expertise in Python and SQL.
About Milliman
Milliman is one of the world’s largest independent professional services firms. Founded in 1947, the firm provides consulting services to clients in four practice areas: healthcare, life insurance and financial services, employee benefits and pensions, and property and casualty insurance. Today, Milliman has more than 3,500 employees, more than $1 billion in annual revenue, and more than 60 offices worldwide.
Job Description
The Life & Annuity Predictive Analytics (LAPA) business unit is a lean, agile, diverse, and geographically distributed data science startup within Milliman. We develop leading-edge data products and deploy them on the cloud as web applications for the world’s premiere life insurers.
As an Actuarial Intern on the LAPA team, you will play a key role in the development, testing, deployment, and maintenance of data processing and analytics infrastructure that prepares data for predictive modelling. You will work closely with other data scientists, data engineers, software engineers, and domain experts to continuously improve our data collection, data cleaning, data analysis, predictive modelling, data visualization, and reporting pipeline.
Responsibilities
- Perform initial explorations and data checks on data (Python and SQL)
- Develop data preparation and data analysis scripts (Python and SQL)
- Support the development of internal processes to validate and visualize raw and prepared data.
- Document and communicate data analysis results.
Preferred Knowledge & Experience
- Experience with distributed computing technologies (Databricks, Spark, H2O, Hadoop, etc.)
- Advanced programming skills in Python including pandas and NumPy.
- Advanced programming skills in R including experience with the tidyverse suite of packages
- Experience with RStudio Shiny web application framework.
- Basic knowledge of web application technology (JavaScript, HTML, and CSS)
Qualification
- Bachelors in a quantitative field/Bachelor of science (e.g. Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, Data Science, etc.)
- Final-year students are eligible to apply for this position.
- Pursuing an Actuarial science qualification from any recognized institute.
Location
Gurugram, India.
How to Apply?
Interested candidates can directly apply through this link.
