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LG Energy Solution Vertech Inc VERIFIED EMPLOYER

Data Science Co-Op.

Data Science & ML
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Data Science Co-Op: our view in 3 lines...

  • The Role:This role applies data science methods and algorithms to improve the monitoring and performance of battery energy storage systems.
  • The Person:The person will support exploratory data analysis and data model development, build and test machine learning pipelines for predictive maintenance and anomaly detection, and communicate findings through visualizations and documentation.
  • Requirements:The ideal candidate is proficient in Python and standard ML tools and packages, has experience with Time Series models and a Linux environment, and is familiar with AWS, Azure, Databricks, Snowflake, GCP, Docker, and Kubernetes.

About the role

Data Science Co-Op

Company Overview

LG Energy Solution Vertech, Inc., a subsidiary of LG Energy Solution, is a leading provider of grid-scale integrated energy storage systems, delivering safe, reliable, and high-performance solutions to customers worldwide. Powered by our proprietary AEROS energy operating system, we use advanced monitoring and controls to help customers optimize system performance and maximize the value of their energy storage assets. 

For more information about LGESVT, please visit www.lgensol-vt.com. 

Position Overview

LGES Vertech is seeking motivated interns and co-op students to join our EMO/AI Data team and contribute to cutting-edge projects addressing some of the most complex challenges in Battery Energy Storage Systems (BESS). As an intern, you will have the opportunity to apply data science methods and advanced algorithms to enhance our suite of data-driven products, driving innovations that make BESS safer, more reliable, and more efficient in grid integration.

Key Responsibilities

  • Collaborate with the Predictive Analytics team to support research, exploratory data analysis (EDA), and the development of data models.
  • Leverage AI models to generate synthetic labels that improve and calibrate machine learning models.
  • Research industry best practices and applications of algorithms in battery analytics to inform and enhance project approaches.
  • Assist in building, testing, and validating machine learning pipelines for predictive maintenance, performance optimization, and anomaly detection in BESS.
  • Communicate findings through clear visualizations, presentations, and documentation to support knowledge sharing across technical and non-technical teams.

Job Requirements

  • Experience with Time Series models.
  • Good understanding of traditional ML models
  • Available for at least 4 months of internship.
  • Internship is onsite at our Westborough office.

Skills and Experience:

Required 

  • Enrolled or graduated with a Ph.D. or MS in computer science, Data Science, Mathematics, or equivalent degree.
  • Proficient in Python and standard ML tools and packages
  • Experience working in a Linux environment.
  • Familiarity with cloud platforms (AWS/Azure/Databricks/Snowflake/GCP) and containers (Docker/Kubernetes)
  • Good understanding of SW design methodologies
  • User-level experience with Git or equivalent
  • Legally authorized to work in the USA

Preferred

  • At least 1-2 years of relevant industry experience
  • Familiarity with microservices infrastructure on the cloud
Published October 20, 2026
Location Westborough, MA
Category Data Science & ML  

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