Job Description We are seeking a highly experienced Data Scientist to lead our analytics team in financial impact testing. In this role, you will serve as the senior authority, guiding the team through complex scenario analyses to understand how pricing and strategic decisions impact the entire product portfolio and overall profitability. You’ll work extensively with SQL and Databricks to interpret model outputs, validate existing models, and deliver clear, actionable financial insights. A robust understanding of financial principles is crucial, as you will be translating data insights into meaningful financial recommendations. 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/. Skills and Requirements • 5+ years of Data Science experience with financial focus • Ability to work independently with minimal oversight, driving projects from analysis to actionable recommendations. • Strong proficiency in SQL and Databricks. • Extensive experience in financial scenario analysis and interpreting and troubleshooting model outputs. Strong financial background and communication skills to translate data insights into business terms.