Job Description We are building out our team to support the increasing regulatory filings and data requests related to analytical and modeling methodologies. This role sits at the intersection of data science, data engineering, and regulatory compliance, supporting both advanced analytics work and responses to regulatory inquiries. The Data Scientist will contribute hands-on data science and analytics while also helping articulate and justify how data science methodologies comply with regulatory guidelinesparticularly as regulatory bodies move from issuing high-level guidance to asking detailed questions about modeling approaches and techniques. \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Key Responsibilities Perform hands-on data science and advanced analytics, with a strong emphasis on PySpark and Python Support regulatory filings and compliance-related data requests, particularly around analytical models and methodologies Respond to regulator inquiries by explaining, documenting, and justifying data science techniques used to meet regulatory guidelines Partner with stakeholders as regulatory guidelines are released and translated into compliant data science methodologies Help demonstrate how analytical approaches align with established regulatory and compliance frameworks Work across data engineering, data science, and business analysis functions to deliver clear, defensible insights Collaborate with teams in the electric utility / electric operations space, especially where analytics support inspections, maintenance, or risk-related decisions 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements Major Requirements (Must-Have) Very strong PySpark experience (critical requirement) Strong background in data science and data analytics Advanced Python skills Experience working with large-scale datasets and distributed data processing Comfort performing both analytical work and regulatory/compliance-related tasks Ability to clearly explain data science methodologies to non-technical and regulatory audiences \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Preferred Qualifications Experience in the electric utility / electric operations domain Experience supporting regulatory compliance, risk management, or regulatory-facing analytics Background working in roles that span: oData engineering oData science oBusiness analysis Experience responding to or supporting regulatory data requests tied to analytical models Ability to operate in environments where methodologies must be clearly justified and defensible \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ Key Skills Summary Data Science Data Analytics Python PySpark Regulatory / Compliance Analytics Utility & Electric Operations (preferred)

The role requires very strong PySpark experience, which is a critical requirement. A strong background in data science and data analytics is necessary, along with advanced Python skills. Candidates must be comfortable working with large-scale datasets and distributed data processing. The ability to perform both analytical work and regulatory/compliance-related tasks is essential. Additionally, the role requires the ability to clearly explain data science methodologies to non-technical and regulatory audiences.