Insight Global

Actuarial Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Actuarial Data Scientist with a 12-month contract to hire, hybrid in Des Moines, IA. Requires 3+ years in data science or actuarial roles, proficiency in Python or R, SQL, and experience in Property & Casualty Insurance. Pay rate is $55-$70/hr.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
March 11, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Des Moines Metropolitan Area
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🧠 - Skills detailed
#Data Science #Data Engineering #Python #Data Pipeline #Programming #AI (Artificial Intelligence) #Data Quality #ML (Machine Learning) #Monitoring #R #Strategy #Data Analysis #Visualization #SQL (Structured Query Language)
Role description
Location: Hybrid in the Des Moines, IA area Duration: 12 Month Contract to Hire Required Skills & 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 Job 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. 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. Compensation: $55/hr to $70/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.