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Internship Chemical Engineering Data Science Jobs

Bloom Energy

Sr. Staff Chemical Engineer

San Jose, CA · On-site

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply first-principles chemical engineering to data-driven process modeling and optimization

Bloom Energy

Sr. Staff Chemical Engineer

San Jose, CA · On-site

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply firstprinciples chemical engineering to data-driven process modeling and optimization

Actalent

Chemical Engineering Student

Hartland, WI

The position provides exposure to the full lifecycle of an intricate scientific process, from ... Collaborate with other team members to interpret data and develop products and processes aligned ...

KBR

Chemical Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

KBR internships provide handson, projectbased experience across engineering, science, cyber ... Data & Reporting: Contribute to progress reporting, documentation, and performance metrics.

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ChampionX

Chemical Data Scientist

Sugar Land, TX

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

ChampionX

Chemical Data Scientist

Sugar Land, TX · On-site

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

Mariana Minerals

Chemical Engineering Intern

Moab, UT · On-site

$16.75 - $22/hr

... internship Desired Qualifications * Currently pursuing a degree in Chemical Engineering or Metallurgy * Strong fundamentals in fundamental knowledge, data recording, organization and analysis, and ...

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How much do internship chemical engineering data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship chemical engineering data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can an intern expect to work on in a Chemical Engineering Data Science internship?

As a Chemical Engineering Data Science intern, you can expect to work on projects that combine data analysis with chemical process optimization. Typical tasks may include analyzing large datasets from lab experiments or manufacturing systems, developing predictive models for process improvement, and visualizing data to support decision-making. Interns often collaborate closely with chemical engineers, data scientists, and production teams, gaining exposure to both technical and practical aspects of the field. This hands-on experience can provide valuable insights into how data science drives innovation in chemical engineering.

What is an Internship in Chemical Engineering Data Science?

An internship in Chemical Engineering Data Science is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques to chemical engineering problems. Interns work on projects involving data analysis, modeling, and simulation to optimize processes, improve efficiency, or solve real-world challenges in fields such as energy, pharmaceuticals, or manufacturing. This role provides valuable exposure to both chemical engineering concepts and advanced data science tools, preparing interns for careers at the intersection of these disciplines.

What is the difference between Internship Chemical Engineering Data Science vs Internship Chemical Engineering?

AspectInternship Chemical Engineering Data ScienceInternship Chemical Engineering
Required CredentialsRelevant coursework in chemical engineering and data science, possibly some programming skillsBasic chemical engineering knowledge, possibly some engineering coursework
Work EnvironmentData analysis labs, software development environments, research teamsProcess plants, laboratories, manufacturing facilities
Employer & Industry UsageTech companies, consulting firms, R&D departments in chemical industriesChemical plants, manufacturing companies, energy sectors

Internship Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often in tech-driven environments. In contrast, Internship Chemical Engineering emphasizes traditional chemical processes and manufacturing. Both roles require foundational chemical engineering knowledge but differ in technical focus and work settings.

What are the key skills and qualifications needed to thrive as an Internship Chemical Engineering Data Science, and why are they important?

To excel in an Internship in Chemical Engineering Data Science, you typically need a background in chemical engineering, strong analytical abilities, and foundational knowledge of data analysis and statistics. Familiarity with programming languages such as Python or R, data visualization tools, and simulation software is often required. Effective communication, problem-solving skills, and the ability to collaborate within multidisciplinary teams set top candidates apart. These competencies are crucial for interpreting complex data, developing innovative solutions, and contributing to data-driven decision-making in engineering projects.
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Sr. Staff Chemical Engineer

Sr. Staff Chemical Engineer

Bloom Energy

San Jose, CA • On-site

$151K - $218K/yr

Full-time

Posted 12 days ago

Bloom Energy rating

9.2

Company rating: 9.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

15th of 417 rated machine equipment manufacturers

Job description

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream-we're making it reality.
For over two decades, we've been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what's possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled "time-to-power" capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.
We are seeking a Sr. Staff Chemical Engineer to join our Data Science team, where you will apply deep chemical engineering expertise alongside coding, analytics, and automation to improve, scale, and optimize complex manufacturing processes. This role sits at the intersection of process engineering, data science, and software, focusing on building scalable, data-driven solutions rather than day-to-day operations.
This role will report to Sr. Principal Engineer, Data Sceince and is based in San Jose, CA.
This is a fully on-site, in office role 5 days a week.
Key Responsibilities
  • Apply first-principles chemical engineering to data-driven process modeling and optimization
  • Develop Python-based tools, pipelines, and workflows to automate engineering analysis
  • Build and maintain digital twins, soft sensors, and advanced analytics models
  • Analyze large-scale manufacturing data to identify performance, yield, and reliability opportunities
  • Partner with data scientists, software engineers, and process experts to deploy solutions into production
  • Owns complex, ambiguous problems from model concept to deployment

Required Qualifications
  • PhD or MS in Chemical Engineering (or related field)
  • 6+ years of industry experience, including senior/staff-level technical impact
  • Proven ability to translate chemical engineering problems into data and code

Skills
  • Process modeling, scale-up, and root-cause analysis (Aspen)
  • Python (NumPy, Pandas, SciPy; visualization libraries)
  • Automation of engineering calculations and analysis workflows
  • Working with large datasets, time-series data, and process historians(OSIsoft PI, Aspen IP21))
  • ML or statistical modeling applied to physical systems

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee
with a disability, who can perform the essential job functions, unless undue hardship would result.
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.
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Salary Ranges:
$151,700.00 - $218,300.00

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