Principal Data Scientist

Insight Global is seeking a Principal Data Scientist – Load & Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact—working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions.
• Lead end-to-end development of load, solar, and wind forecasting models
• Design, deploy, and maintain production-grade forecasting systems
• Build automated retraining, evaluation, and performance monitoring frameworks
• Integrate weather and operational data via APIs and internal data warehouses
• Develop scalable pipelines for real-time and batch forecasting
• Partner closely with trading, system operations, and engineering teams
• Create interactive dashboards to communicate forecasts and insights
• Ensure forecasting solutions meet strict accuracy and operational deadlines


pay rate: $45-$60/hr

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/.

• Advanced Python expertise (pandas, numpy, scikit-learn, statsmodels)
• Strong background in time-series forecasting (ARIMA, SARIMAX, gradient boosting models)
• Proven experience taking models from development to production
• Experience integrating weather APIs and external data sources
• Hands-on experience with AWS (EC2, S3, Lambda, SageMaker)
• Strong SQL skills and experience querying large datasets
• Experience building production monitoring, versioning, and retraining pipelines
• Excellent communication skills with both technical and non-technical stakeholders

• Energy markets, load forecasting, or renewable generation domain experience
• Probabilistic forecasting and uncertainty quantification
• Advanced feature engineering with weather and domain-specific signals
• Experience with Streamlit, Plotly, or similar dashboarding tools
• Agile/Scrum experience (Jira, Confluence)
• Infrastructure-as-Code experience

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.