Data Science Intern - Summer 2026 - Bedford, MA

Reposted 2 Days Ago
Bedford, MA, USA
In-Office
40-50 Hourly
Internship
Software • Energy
The Role
As a Data Science Intern, you'll collaborate to develop machine learning applications and drive technology innovations in AspenTech's software platforms.
Summary Generated by Built In

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The RoleAs part of Emerson Electric, AspenTech is a global leader in industrial software, delivering advanced asset optimization solutions for capital-intensive industries. With a presence around the world, we are uniquely positioned to drive innovation and sustainability across energy, chemical, manufacturing, and infrastructure sectors. With origins at MIT over 40 years ago, AspenTech has continually pushed the boundaries of what’s possible in optimization technology. Now, as a key innovation engine within Emerson, our Technology organization includes more than 1,300 experts in performance engineering, subsurface science, manufacturing and supply chain, digital grid management, and asset performance monitoring.
Joining this team means transforming cutting-edge ideas into impactful solutions used by hundreds of thousands of professionals globally—shaping the future of industry through technology.
As a Data Science Intern in our AI Technology Group, you bring deep technical expertise in build the next generation of Asset Performance Monitoring AI technology. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive innovations in AspenTech’s software platforms.

Your Impact
  • Collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries
  • Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications
  • Provide thought leadership and represent AspenTech at industry and academic meetings and conferences

What You'll Need
  • Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD candidates preferred
  • 5+ years of experience in data analysis and software development/programming with one or more of Python, C++/C and C#
  • Strong expertise required in engineering mathematics, statistics and optimization
  • Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing)
  • Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus
  • History of publishing research and results in the ML field
  • Participated in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning application
  • Problem-solving ability and attention to details
  • Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment
  • Excellent interpersonal, communication, writing, and presentation skills
  • Demonstrated ability to convey complex information in a clear and concise manner

Hourly Internship Pay Rate: $40.00 - $50.00

Work Location:

Aspen Technology has a global hybrid workplace for most of our roles. Employees are expected to work in the office 4 days per week and may work remotely 1 day per week, unless the employee has a reasonable accommodation or other approved exception to the hybrid workplace schedule. Our Internship role is based in our global headquarters in Bedford, MA.

Work Authorization

AspenTech will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Skills Required

  • Master's in Computer Science, Engineering, Operation Research, or a related major; PhD candidates preferred
  • 5+ years of experience in data analysis and software development/programming with one or more of Python, C++/C and C#
  • Strong expertise required in engineering mathematics, statistics and optimization
  • Demonstrated experience with machine learning algorithms
  • Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus
  • History of publishing research and results in the ML field
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The Company
HQ: Bedford, MA
2,466 Employees

What We Do

AspenTech is a global leader in asset optimization software helping the world’s leading industrial companies run their operations more safely, efficiently and reliably – enabling innovation while reducing waste and impact on the environment. AspenTech software accelerates and maximizes value gained from digital transformation initiatives with a holistic approach to the asset lifecycle and supply chain. By introducing effective AI modeling to traditional principles of process engineering, AspenTech delivers a faster and more accurate analysis of efficiency and performance boundaries. The real-time data and actionable insights delivered by our software help customers push the boundaries of what’s possible.

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