FBS - Senior Decision Scientist (data)

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 Role We 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 Do Analyze large and complex datasets to identify trends, patterns, risks, and business opportunities Apply statistical, mathematical, and quantitative techniques to solve medium-scale business problems Build descriptive and explanatory models or leverage existing predictive models to support business strategies Conduct exploratory data analysis (EDA), hypothesis testing, and data validation exercises Develop actionable insights and recommendations that support operational efficiency, growth, and profitability Collaborate with cross-functional teams including IT, Data Engineering, Data Science, and business stakeholders Collect, integrate, and transform data from multiple sources into cohesive datasets for analysis Assess data quality and apply data hygiene techniques to ensure accuracy, reliability, and consistency Support monitoring and deployment of predictive models into business workflows Create dashboards, reports, and visualizations using tools such as Power BI and Tableau Communicate analytical findings and recommendations to business partners and leadership in a clear and concise manner Use storytelling and data visualization techniques to simplify complex information for decision-making Identify and troubleshoot data quality issues in partnership with technical teams Stay informed on emerging analytics, decision science, and machine learning methodologies and best practices Participate in continuous learning and professional development opportunities to enhance technical and business expertise Experience in data analytics, decision science, business intelligence, or a related field Bachelor’s degree preferred in Data Science, Statistics, Mathematics, Business Analytics, or a related discipline Experience working with large datasets and performing data wrangling and transformation Basic to intermediate experience with statistical analysis and machine learning concepts Proficiency with SQL and Python for data analysis and reporting Experience using data visualization tools such as Power BI or Tableau Familiarity with Snowflake and cloud-based data environments is a plus This 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 & Development Please note: CVs must be submitted in English. Applications in other languages will not be considered.