Actuarial Data Science Analyst (Insurance Hybrid role)

Delaware Compensation Rating Bureau; Philadelphia (Philadelphia County); On-site; USD 75,000 - 120,000; Full time

Job summary

Delaware Compensation Rating Bureau is seeking an Actuarial Data Science Analyst for a hybrid role in Philadelphia, PA. The position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and model development.

You will work with Python, R, SQL, and Snowflake to automate processes, develop reports and dashboards, and communicate findings to both technical and non-technical audiences.

Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Economics or Computer Science strongly preferred.
• A degree in Actuarial Science or a Masters in Data Science related field is a plus.
• 3 to 6 years experience in related field.
• Strong programming in Python and R, including data manipulation, statistical analysis, and process automation.
• Experience with SQL, Snowflake, and advanced Excel is required.
• Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred.

Responsibilities

• Support actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development.
• Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
• Extract, validate, and analyze data from multiple sources to support research and business initiatives.
• Draw inferences, develop reports, and present analysis and recommendations to technical and non-technical audiences.
• Participate in multiple research, business intelligence, and data analytics projects simultaneously.

Skills

Python

R

SQL

Data analysis

Statistical modeling

Data manipulation

Automation

Communication

Time management

Education

Bachelor’s Degree in Mathematics/Statistics/Economics/Computer Science

Actuarial Science degree or MSc in Data Science related field

Tools

Snowflake

Microsoft Excel

Power BI

Tableau

Pyramid

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Actuarial Data Science Analyst (Insurance Hybrid role)

Full Time Professional Philadelphia, PA, US

6 days ago Requisition ID: 1056

Job Summary :

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

• Responsible for statistical analyses, actuarial and/or research models
• Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
• Extract, validate, and analyze data from multiple sources to support research and business initiatives.
• Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
• Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements :

Education: Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus.

Experience: 3 to 6 years experience in related field.

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

• Actuarial background or experience in the property & casualty insurance industry is a plus.

Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.