Data Scientist responsible for developing analytical solutions with PowerBI and Python. Collaborating with various stakeholders to improve business outcomes using data insights.
PC
Hybrid Data Scientist Intern – Grid Reliability, Predictive Analytics
Posted 1 hour ago
About the role
- Data Science Intern at PG&E, assisting in developing reliability analytics and predictive models for the electric grid. Involves data management, analysis, and model development for enhancing grid reliability.
Responsibilities
- Collecting, cleaning, integrating, and analyzing data from diverse internal and external sources.
- Designing, developing, and deploying analytical models (statistics and ML) and data pipelines across big data cloud platforms such as Palantir Foundry, Amazon AWS, and similar environments.
- Building interactive dashboards to visualize model performance, data analytics and communicate key insights.
Requirements
- Qualified candidates are pursuing a Master’s or PhD degree in Electrical Engineering, Industrial Engineering, Mechanical Engineering, Structural Engineering, Statistics, Data Science, or other related field.
- Students must be continuing their education towards their degree during and/or after the internship.
- Pursuing a Masters or PhD degree in Electrical Engineering with an emphasis in Power Systems or Industrial Engineering.
- Experienced in Python.
- Minimum 3.0 GPA (both cumulative and major GPA).
- Strong foundation in statistics and/or machine learning.
- Passion for solving complex problems to support communities and enthusiasm for learning new technologies.
- Excellent written and verbal communication skills.
- PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Science & AI Manager leading agentic AI systems and team in Healthcare Digital to enhance patient experience. Prioritizing governance, automation, and cross - functional collaboration in AI developments.
Data Scientist II responsible for modeling complex institutional problems and discovering insights for IEHP. Collaborating closely with stakeholders to provide enhanced data insight.
Data Scientist I at IEHP responsible for maintaining and monitoring production models, discovering insights, and building algorithms. Focus on data science in the healthcare field from Rancho Cucamonga, California.
Data Science Advisor at Cigna - Evernorth leading the development of analytical solutions. Implementing machine learning and visualization to enhance decision - making for business objectives.
Senior Data Scientist leading innovative disease modeling approaches at healthcare AI company. Collaborating with teams to refine data - driven efforts in pharmaceutical commercialization.
Data Scientist developing disease modeling using statistical and machine learning techniques at a healthcare AI company. Collaborating with teams to ensure data - driven solutions and accuracy of models.
Data Science Manager leading a team to develop and deploy ML models for healthcare commercialization. Collaborating with cross - functional leaders to define product strategy at BranchLab.
Data Scientist developing and validating credit risk models at Enova. Collaborating with cross - functional teams to enhance lending criteria and verification procedures.
Data Scientist utilizing Machine Learning and statistics for business solutions at Suzano, a leader in sustainable products. Collaborating with teams and creating models for data - driven decisions.