Data Scientist
Data Scientist
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Job Description
Data Scientist Claims Analytics
Location: Jersey City/Whitehouse Station/Philadelphia
Job Overview: As a Data Scientist in Claims Analytics at Chubb Insurance you will play a critical role in supporting the companys insurance claims division by applying data analytics and modeling techniques to improve operational efficiency optimize claim settlement processes and identify fraud patterns. You will work closely with senior data scientists and stakeholders to extract insights from large and complex datasets ultimately contributing to the strategic decisionmaking process within the organization.
Key Responsibilities:
Data Analysis: Employ statistical and predictive modeling techniques to analyze large datasets related to insurance claims identifying trends patterns and correlations to drive better decisionmaking.
Model Development: Assist in the development and implementation of predictive models for identifying potentially fraudulent claims optimizing claims processes and enhancing claims settlement accuracy.
Data Collection and Cleansing: Collaborate with teams to gather clean and organize relevant data from various sources ensuring data accuracy consistency and integrity.
Data Visualization: Create meaningful and visually appealing reports and dashboards to present analytical findings enabling efficient communication with stakeholders.
Collaboration: Collaborate with crossfunctional teams including actuaries underwriters and claims professionals to understand their analytical needs and provide actionable insights accordingly.
Research: Stay uptodate with the latest trends methodologies and tools in the field of data science and insurance analytics proactively identifying opportunities for innovation and improvement.
Documentation: Document methodologies processes and findings to ensure robust knowledge management and enable replicability of analysis.
Qualifications:
Bachelors degree in Data Science Statistics Mathematics Computer Science or a related field. A masters degree or higher is preferred.
Technical Skills: Proficiency in Python and experience with commonly used libraries and frameworks for data manipulation and modeling (e.g. Pandas NumPy scikitlearn).
Knowledge of statistical concepts and methodologies such as regression analysis time series analysis clustering and classification techniques.
Experience in data visualization using tools like Tableau Power BI or matplotlib (Desired).
Familiarity with database concepts and SQL for data retrieval and manipulation.
Strong problemsolving skills with the ability to think analytically and propose innovative solutions.
Excellent written and verbal communication skills with the ability to present complex findings in a clear and concise manner to both technical and nontechnical stakeholders.
Team player with the ability to collaborate effectively and work in a fastpaced dynamic environment.
Chubb Insurance is an equal opportunity employer and provides a supportive work culture that encourages professional growth and development. If you are passionate about leveraging data analytics to make a direct impact on insurance claims management this role offers an exciting opportunity to contribute to Chubb Insurances continued success.
Employment Type
Full-Time
