Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
PC
Hybrid Data Scientist Intern – System Performance Monitoring
Posted last month
About the role
- Data Scientist Intern at PG&E developing system performance monitoring tools using operational datasets. Collaborating with the System Performance Monitoring team to support grid modernization technologies.
Responsibilities
- Assist in collecting, cleaning, and integrating datasets and help build simple data pipelines from internal sources to support analytics and operational insights.
- Support the development, testing, and maintenance of statistical or machine learning workflows by learning team tools and cloud platforms (e.g., Foundry, AWS) under guidance from senior engineers.
- Contribute to dashboards, reports, and data summaries that help communicate findings and support engineering and operational decision‑making.
Requirements
- Currently pursuing bachelor's, master’s or PhD degree in Data Science, Electrical, Industrial, Mechanical, or Civil/Structural engineering, Statistics, or other related field
- Must be continuing their education toward a degree during and/or after the internship
- Pursuing a Ph.D. in Engineering, Statistics, Data Science, or a related field (power systems emphasis preferred)
- Minimum 3.0 GPA (cumulative and major)
- Proficient in Python
- Strong foundation in statistics and/or machine learning
- Understanding of power systems fundamentals such as power flows, per-unit analysis, symmetric components, and/or protection engineering
- Passion for solving complex technical challenges to support communities
- Enthusiasm for learning and adopting new tools, platforms, and technologies
- Excellent written and verbal communication skills.
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