FBS - Decision Scientist

Farmers Insurance 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).

The Decision Scientist will provide analytical and statistical support to business teams by transforming complex data into meaningful insights and actionable recommendations.

You will:

• Apply statistical, mathematical, and quantitative techniques to solve business problems and support strategic decision-making.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, correlations, outliers, and business opportunities.
• Develop descriptive and explanatory models to investigate business challenges and support data-driven recommendations.
• Apply statistical methodologies such as distribution analysis, correlation analysis, multivariate analysis, time series, hypothesis testing, and machine learning.
• Collect, integrate, clean, and transform data from multiple sources to create reliable datasets for analysis.
• Test hypotheses, validate findings, and evaluate potential business opportunities through analytical studies and experiments.
• Interpret complex datasets and translate analytical findings into clear business insights and recommendations.
• Collaborate with business stakeholders to understand challenges, define analytical approaches, and support complex business objectives.
• Use data visualization tools to communicate trends, findings, and recommendations effectively.
• Support the deployment, monitoring, and evaluation of predictive models developed by the team.
• Perform data quality checks and apply data validation techniques to ensure accuracy, consistency, and reliability.
• Partner with data scientists, data engineers, IT, and other technical teams to improve data integrity and analytical processes.
• Identify data quality issues and collaborate with relevant teams to investigate and resolve them.
• Prepare presentations and communicate analytical results to business partners and leadership, making technical concepts accessible to non-technical audiences.
• Apply data storytelling techniques to connect analytical findings with business objectives and recommended actions.
• Stay current with emerging statistical methodologies, data science technologies, machine learning techniques, and industry best practices.
• Share knowledge and support less experienced team members when appropriate, contributing to the overall quality of the team's work.

Requirements:

• Strong foundation in statistics, mathematics, and quantitative analysis.
• Experience with exploratory data analysis and statistical modeling.
• Knowledge of statistical methodologies, including hypothesis testing, correlation analysis, regression, multivariate analysis, and time series.
• Familiarity with machine learning concepts and predictive modeling.
• Programming experience using Python or R.
• Experience querying, manipulating, and analyzing large datasets using SQL.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
• Understanding of data preparation, integration, transformation, and quality validation.
• Ability to interpret analytical results and translate them into actionable business recommendations.
• Strong analytical thinking, problem-solving, and data storytelling skills.
• Professional experience in Data Science, Statistics, Advanced Analytics, Decision Science, Business Analytics, or a related field.
• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
• Fluent English, with the ability to communicate analytical findings and collaborate with international stakeholders.

Benefits:

• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development