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2 months ago
Requirements and responsibilities
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.About the RoleWe are seeking a data-driven and analytical DATA Senior Decision Scientist to support enterprise-wide decision-making through advanced analytics, data insights, and business intelligence solutions. In this role, you will work closely with cross-functional partners to analyze complex datasets, identify trends and opportunities, and deliver actionable recommendations that drive business growth, operational efficiency, and profitability.The ideal candidate is passionate about leveraging data to solve business problems and is comfortable working with statistical analysis, data visualization, and predictive modeling techniques. You will contribute to strategic initiatives by transforming complex data into meaningful insights that support informed business decisions.This role requires strong collaboration skills, curiosity, and the ability to communicate technical findings clearly to both technical and non-technical stakeholders. The position operates with a moderate level of independence while receiving guidance and mentorship from senior team members.What You’ll DoAnalyze large and complex datasets to identify trends, patterns, risks, and business opportunitiesApply statistical, mathematical, and quantitative techniques to solve medium-scale business problemsBuild descriptive and explanatory models or leverage existing predictive models to support business strategiesConduct exploratory data analysis (EDA), hypothesis testing, and data validation exercisesDevelop actionable insights and recommendations that support operational efficiency, growth, and profitabilityCollaborate with cross-functional teams including IT, Data Engineering, Data Science, and business stakeholdersCollect, integrate, and transform data from multiple sources into cohesive datasets for analysisAssess data quality and apply data hygiene techniques to ensure accuracy, reliability, and consistencySupport monitoring and deployment of predictive models into business workflowsCreate dashboards, reports, and visualizations using tools such as Power BI and TableauCommunicate analytical findings and recommendations to business partners and leadership in a clear and concise mannerUse storytelling and data visualization techniques to simplify complex information for decision-makingIdentify and troubleshoot data quality issues in partnership with technical teamsStay informed on emerging analytics, decision science, and machine learning methodologies and best practicesParticipate in continuous learning and professional development opportunities to enhance technical and business expertiseRequirementsExperience in data analytics, decision science, business intelligence, or a related fieldBachelor’s degree preferred in Data Science, Statistics, Mathematics, Business Analytics, or a related disciplineExperience working with large datasets and performing data wrangling and transformationBasic to intermediate experience with statistical analysis and machine learning conceptsProficiency with SQL and Python for data analysis and reportingExperience using data visualization tools such as Power BI or TableauFamiliarity with Snowflake and cloud-based data environments is a plusBenefitsThis position comes with competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally reknowned group Private Health Insurance Pension Plan Paid Time Off Training & DevelopmentPlease note: CVs must be submitted in English. Applications in other languages will not be considered.