

Insight Global
Actuarial Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Actuarial Data Scientist with a contract length of "unknown" and a pay rate of "unknown." It requires 3+ years of experience in the Property & Casualty Insurance Industry, proficiency in Python or R, and SQL expertise.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
March 5, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Des Moines Metropolitan Area
-
π§ - Skills detailed
#Data Science #Data Analysis #Data Quality #Python #Strategy #Data Engineering #R #AI (Artificial Intelligence) #Monitoring #SQL (Structured Query Language) #Data Pipeline #Visualization #ML (Machine Learning) #Programming
Role description
The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating unitsβ collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.
Day-to-Day
β’ Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.
β’ Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.
β’ Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.
β’ Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.
β’ Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.
β’ Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.
β’ Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.
β’ Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.
β’ Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.
Required Skills and Experience
β’ Experience in the Property & Casualty Insurance Industry
β’ 3+ years of experience as a Data Scientist or Actuary
β’ Developing pricing models and/or predictive/prescriptive models
β’ Proficiency in programming languages Python or R
β’ Experience with SQL
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy.
The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating unitsβ collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.
Day-to-Day
β’ Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.
β’ Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.
β’ Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.
β’ Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.
β’ Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.
β’ Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.
β’ Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.
β’ Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.
β’ Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.
Required Skills and Experience
β’ Experience in the Property & Casualty Insurance Industry
β’ 3+ years of experience as a Data Scientist or Actuary
β’ Developing pricing models and/or predictive/prescriptive models
β’ Proficiency in programming languages Python or R
β’ Experience with SQL
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy.






