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AspenTech

Asset optimization software for process industries

Data Science Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Summer 2027Bedford, MA, USA$40 - $50 /hr

About the Job

Requirements

  • A Master's degree in Computer Science, Engineering, Operations Research, or a related major is required.
  • At least five years of experience in data analysis and software development or programming with one or more of Python, C++, C, and C# is required.
  • Strong expertise in engineering mathematics, statistics, and optimization is required.
  • Demonstrated experience with machine-learning algorithms, including regression, semi-supervised learning, deep learning, reinforcement learning, time-series analysis, predictive modeling, data mining, and cognitive computing, is required.
  • A history of publishing research and results in the machine-learning field is required.
  • Experience participating in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine-learning applications is required.
  • The ability to use scientific research to deliver value to customers is required.
  • The ability to convey complex information clearly and concisely is required.
  • Strong problem-solving ability and attention to detail are required.
  • Strong interpersonal, communication, writing, and presentation skills are required.

Responsibilities

  • 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 that promote continuous innovation in Engineering Design and Simulation offerings.
  • Investigate emerging technologies in industry and academia and determine how to leverage them in software applications.
  • Represent AspenTech at industry and academic meetings and conferences.

Desired Qualifications

  • PhD candidates are preferred.
  • Experience with large language models, generative AI, MLOps, graph knowledge, and/or cloud technologies is a plus.

About the Company

AspenTech

Asset optimization software for process industries

AspenTech provides industrial software that optimizes asset design, operations, and maintenance across the full lifecycle for capital-intensive process industries. Its offerings help customers improve efficiency, reduce costs, and boost operational performance by analyzing industrial data, modeling assets and processes, and applying optimization and lifecycle maintenance strategies. The software suite targets chemicals, energy, and engineering & construction, distinguishing itself with a specialized focus on asset optimization for these sectors rather than broad, general-purpose tools. The goal is to help clients maximize asset performance and reduce total operating costs through integrated design, operation, and maintenance solutions.

Company size
1,001-5,000
Company stage
Private
Total funding
$100M
Headquarters
Bedford, TX
Founded
1981

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