• [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 algorithms/ frameworks like ROCKET, Matrix profile techniques, contrastive learning, and architectures like Inception Time and other 1D Convolutional Neural Networks will be a plus!

Familiarity with time series foundational models, like MOMENT, TimeGPT and Granite will be a plus!

Experience: exploring and training models with big datasets, using cloud technologies (especially Databricks) Proficient in scientific Python (Num Py, Sci Py, scikit-learn, Pandas, XGBoost), SQL, and version control (GitHub) Ability to formulate hypotheses, draw conclusions and deliver results Excellent verbal and written communication and interpersonal skills Ability to present findings to stakeholders and communicate results to all colleagues Let us learn about you!

Apply today.

You must submit an online application to be considered for any position with us.

This position will be posted until filled. #intern Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

• It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
• [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 algorithms/ frameworks like ROCKET, Matrix profile techniques, contrastive learning, and architectures like Inception Time and other 1D Convolutional Neural Networks will be a plus!

Familiarity with time series foundational models, like MOMENT, TimeGPT and Granite will be a plus!

Experience: exploring and training models with big datasets, using cloud technologies (especially Databricks) Proficient in scientific Python (Num Py, Sci Py, scikit-learn, Pandas, XGBoost), SQL, and version control (GitHub) Ability to formulate hypotheses, draw conclusions and deliver results Excellent verbal and written communication and interpersonal skills Ability to present findings to stakeholders and communicate results to all colleagues Let us learn about you!

Apply today.

You must submit an online application to be considered for any position with us.

This position will be posted until filled. #intern