Data Science Co-Op

LG Energy Solution Vertech Inc; Westborough (MA); On-site; USD 41,000 - 47,000; Full time

Job summary

LG Energy Solution Vertech, Inc. in Westborough, MA is seeking a Data Science Co-Op to apply data science methods to real-world battery analytics projects.

The role involves collaborating with the EMO/AI Data team to support research, build and validate ML pipelines, and present findings. Onsite internship for at least 4 months with opportunities to learn cloud platforms, Python, time-series models, and modern ML tools.

Qualifications

• Pursuing or holding a graduate degree related to data science or CS.
• Proficient in Python and ML tooling.
• Experience with Linux and Git.
• Familiarity with cloud platforms and containerization.
• Experience with time-series models is required.
• Legally authorized to work in the USA; onsite in Westborough.
• Available for at least 4 months.

Responsibilities

• Collaborate with Predictive Analytics to support research, EDA, and model development.
• Use AI models to generate synthetic labels to improve ML models.
• Research best practices for algorithms in battery analytics to guide projects.
• Build, test, and validate ML pipelines for predictive maintenance and anomaly detection in BESS.
• Present findings with visualizations and documentation for cross-team knowledge sharing.

Skills

Time Series models

Traditional ML

Python

Linux

Git

Cloud platforms

Containers

SW design methodologies

Education

Ph.D. or MS in Computer Science, Data Science, Mathematics, or equivalent

Tools

Docker

Kubernetes

AWS

Azure

Databricks

Snowflake

GCP

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Science Co-Op

Westborough, MA, US

Salary Range: $30.00 To $34.00 Hourly

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.

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