Data Science Intern - Summer 2026 - Bedford, MA

Bedford, MA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
USD $40.00 - 50.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Relationship Building
  • Sustainability
  • Energy
  • MIT
  • Performance Engineering
  • Science
  • Supply Chain Management
  • GRID
  • Management
  • Data Science
  • Performance Monitoring
  • Forms
  • Mathematical Modeling
  • Artificial Intelligence
  • Manufacturing
  • Collaboration
  • Innovation
  • Engineering Design
  • Thought Leadership
  • Computer Science
  • Data Analysis
  • Software Development
  • Python
  • C++
  • C
  • C#
  • Mathematics
  • Statistics
  • Optimization
  • Algorithms
  • Regression Analysis
  • Semi-supervised Learning
  • Deep Learning
  • Time Series
  • Predictive Modelling
  • Data Mining
  • Generative Artificial Intelligence (AI)
  • Machine Learning Operations (ML Ops)
  • Cloud Computing
  • Publishing
  • Research
  • Evaluation
  • Analytical Skill
  • Machine Learning (ML)
  • Conflict Resolution
  • Problem Solving
  • Scientific Research
  • Communication
  • Writing
  • Presentations
  • Aspen
  • Mergers and Acquisitions
  • Physical Layer
  • Employment Authorization

Summary

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 Role
As 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119376
  • Position Id: 1cded9b7fb9de3e732977d7016865613
  • Posted 2 hours ago
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