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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Actuarial Data Scientist - **Company:** Insight Global - **Location:** Urbandale, IA, United States - **Experience:** Expert - **Salary:** $114,400.0 - $135,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Business Software, Computer Programming, Web Development, R (Programming Language), Monitoring of Systems, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Standard Sql, Software Engineering, Cloud Platform System, Large Language Models, Snowflake, Apache Spark, Enterprise Integration, Machine Learning Operations, Data Pipelines - **Published:** June 4, 2026 - **Apply:** https://dejobs.org/x/x/48634D68F70440E4A631B4284D18B952/job/ ## About the Role · Experience in the Property & Casualty Insurance Industry · 3+ years of experience as a Data Scientist or Actuary * Developing pricing models and/or predictive/prescriptive models · Proficiency in programming languages Python or R · Experience with SQL · Experience building web applications (R Shiny/ Dash) as a workflow integration product. · Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms - Microsoft Azure, AWS etc.) · Understanding of NLP & Large Language models with insights on potential business applications in insurance. Experience in leading a statistical/actuarial based analytical project. ## 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 units' 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. · Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy. · Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies. · Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics. · 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. · Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders. · Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements. · Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity. · Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows. · Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)