AI/ML Data Science Intern — Asset Optimization

Aspen Technology; Bedford (MA); Hybrid; USD 55,000 - 69,000; Part time

Benefits offered by this job

Hybrid work model

Paid internship

Job summary

Aspen Technology, part of Emerson Electric, is seeking a Data Science Intern for our AI Technology Group in Bedford, MA. You will work with data scientists and engineers to develop ML-based asset performance monitoring capabilities.

The role emphasizes hands-on data mining, modeling, and cognitive AI in a fast-paced environment. Hybrid office schedule with partial remote work is expected.

Qualifications

• Master's in Computer Science, Engineering, Operations Research, or related field; PhD candidates preferred.
• 5+ years of experience in data analysis and software development with Python, C/C++ and C#.
• Strong mathematics, statistics and optimization background.
• Experience with ML/AI and cognitive computing is required.

Responsibilities

• Collaborate with data scientists, engineers, and software developers to build ML apps for manufacturing and process industries.
• Work with customers and product teams to promote continuous innovation in engineering design and simulation.
• Explore new technologies and integrate them into software applications.
• Provide thought leadership and represent AspenTech at industry and academic events.

Skills

Python

C/C++

C#

Data analysis

Software development

Engineering mathematics

Statistics

Optimization

Machine learning

LLM

Generative AI

MLOps

Cloud technologies

Research publications

Communication skills

Presentation skills

Education

Master's degree in CS/Engineering/OR or related

Tools

None specified in HTML

Job description

Aspen Technology, part of Emerson Electric, is seeking a Data Science Intern for our AI Technology Group in Bedford, MA. You will work with data scientists and engineers to develop ML-based asset performance monitoring capabilities.

The role emphasizes hands-on data mining, modeling, and cognitive AI in a fast-paced environment. Hybrid office schedule with partial remote work is expected.