Milliman - Actuarial Data Scientist - Python/SQL (5-8 yrs)

Job Description :

This job description is intended to represent the duties of the role, and the knowledge, skills and experience needed to perform the role effectively. Our job descriptions will be used to set expectations for performance management, but no job description will represent all tasks and duties required. As professionals, our Practice also expects from you the following:

A client centric culture requires all colleagues to think about how we can contribute to exceptional client service. We expect all colleagues to think this way, and to take appropriate action whether a task is in the job description, or not.

Performing the duties described in a job description meets the minimum requirements of a job. In order to receive career growth and compensation rewards, colleagues must exceed minimum expectations.

There are a number of administrative responsibilities that come with working in our Practice. Timesheets, expense reports, performance management and compliance training are all required to ensure professional administration of our Practice, and all colleagues are expected to engage in these items in a timely manner.

The Role :

This role will primarily be responsible for leading industry studies for the LAPA team. You will manage teams which are responsible for end-to-end process including data collection from clients, development, testing, deployment, and maintenance of data processing and analytics infrastructure, modeling analytics, results analysis and report writing.

You Will :

- Lead policyholder experience studies

- Direct analysts in preparing study data

- Provide life and annuity domain expertise

- Represent Milliman in client interactions

- Coordinate project tasks with technical team

- Perform and assess statistical methods

- Lead the preparation of client reports or relevant marketing materials

Job Knowledge :

Experience Skills :

- Bachelors in a quantitative field/Bachelor of Science (MS preferred) (e.g., Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, Data Science, etc.)

- 5+ years of relevant work experience with a minimum of 2 years in an experience analysis or assumption setting role

- Member of any recognized Actuarial institute (e.g., IFoA, IAI, SOA)

- Experience with common data analysis tools (e.g. Python, R, SASS, SQL)

- Familiarity with fundamentals of predictive modeling and other statistical methods

Experience And Soft Skills Required :

- Experience with leading a project team

- Background in life and annuity industry

- Ability to work in a fast-paced environment where the client is always our first priority

- Proven record of reliability and dedication to high quality work

- Sharp critical thinking skills, sound judgment, and decision-making ability

- Both the ability and willingness to clearly articulate your ideas

- Strong written and verbal communication skills

- Ability to work both collaboratively and independently

- Ability to manage competing priorities and deadlines

Additional Knowledge And Skills To Build :

- Demonstrated aptitude for quantitative and critical thought

- Experience working with cloud-based computing platform (e.g. Databricks)

- Advanced analytical programming using spark-based languages (PySpark, SparkSQL)