Insight Global
SR Data Scientist
Insight Global, Urbandale, Iowa, United States, 50322
A large Property and Casualty insurance organization is seeking a Sr Data Scientist to join the Data Analytics group supporting multiple underwriting and actuarial teams. The top priority of this Sr Data Scientist is to develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies. They will also be utilizing Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics. From there, they are creating visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.
Other Responsibilities include: Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy. 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. 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.
The potential hourly pay rate has a wide range due to many factors including experience ($60 - $75/hr).
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . - Insurance experience within Property & Casualty, Personal lines, or health insurance - Big data exposure to data bricks or Azure Machine Services - Experience with Open Box Machine Learning - Actuarial background - Experience building pricing models and putting them into production In a regulated industry (ideally insurance) - Strong SQL experience - Programming experience with Python or R (python preferred) - Masters degree in either Statistics, Mathematics, Data Science or equivalent quantitative discipline - XGBoost experience
Other Responsibilities include: Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy. 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. 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.
The potential hourly pay rate has a wide range due to many factors including experience ($60 - $75/hr).
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . - Insurance experience within Property & Casualty, Personal lines, or health insurance - Big data exposure to data bricks or Azure Machine Services - Experience with Open Box Machine Learning - Actuarial background - Experience building pricing models and putting them into production In a regulated industry (ideally insurance) - Strong SQL experience - Programming experience with Python or R (python preferred) - Masters degree in either Statistics, Mathematics, Data Science or equivalent quantitative discipline - XGBoost experience