Time Series Machine Learning Intern

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives.

Our 144,000 employees thrive in more than 100 countries.

From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations.

Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu.be/dux6kG13QWM

Great people make Schneider Electric a great company.

Based in Andover, MA, Schneider Electric's Artificial Intelligence (AI) hub team aims to deliver world class AI products to solve customer challenges by enhancing digital offers with AI driven insights and new kinds of AI products addressing Energy, Sustainability and Industrial Automation domains, all leveraging a comprehensive Platform approach.

We're looking for a passionate and product-minded Time Series Machine Learning Intern to join us in Summer 2026.

The candidate will help in developing data science products based on time series machine learning algorithms using IoT data.

The position will report to the Senior Principal ML/AI Architect in the team but will work closely with respective offer managers and usecase squads.

What will you do?


* Develop Python-based time series machine learning algorithms for fleetwide IoT data, including anomaly detection and classification.


* Create frameworks for prototyping and benchmarking machine learning algorithms and tools on data across fleets of similar industrial assets.


* Select appropriate datasets and data representation methods


* Run machine learning tests and experiments to support the product development


* Develop and test strategies for training and retraining machine learning systems


* Research and survey industrial reports and technical papers on latest industrial trends, case studies, models and methodologies.

What's in it for you?

For this U.S.

based position, the expected compensation range is $22.50 - $39.50 per hour.

In addition, this position is eligible for overtime pay and recognition programs.

The compensation rate for this position is for candidates located within the United States.

Individual pay is determined by several factors including knowledge, job-related skills, experience, and relevant education or training

What qualifications will make you successful for this role?


* The candidate must be currently enrolled in a masters or doctoral graduate program in a related discipline such as Mathematics, Statistics, Physics, Engineering, Data Science or CS


* Demonstrable experience in full stack data science, including developing and deploying machine learning models in a production environment


* Experience working with time series data is required.

Prior experience with Python-based libraries for time series, such as SKTime, tsfresh, Ruptures will be an advantage.


* Familiarity with time series machine learning alg...