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Internship Chemical Engineering Data Science Jobs in Georgia

ES3

Chemical Engineer

Warner Robins, GA · On-site

Engineering Drawings and Solid Modeling (SolidWorks) * Technical Data Publication and Review ... Our Georgia facility has more than 35 engineers, scientists and technicians co-located with our 60 ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial ... Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.

New

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Internship Chemical Engineering Data Science information

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 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 are the key skills and qualifications needed to thrive as an internship chemical engineering data science?

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.

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 most commonly searched types of Chemical Engineering Data Science jobs in Georgia?

The most popular types of Chemical Engineering Data Science jobs in Georgia are:

What are popular job titles related to Internship Chemical Engineering Data Science jobs in Georgia?

For Internship Chemical Engineering Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Internship Chemical Engineering Data Science jobs in Georgia look for?

The top searched job categories for Internship Chemical Engineering Data Science jobs in Georgia are:

Internship Chemical Engineering Data Science jobs near you

Graduate Intern, Artificial Intelligence & Data Science - Summer 2027

HD Supply

Atlanta, GA • On-site

Full-time

Posted 4 days ago

HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

147th of 429 rated retail wholesalers

Job description

About the Role
HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
  • Analyze large and complex datasets to identify trends, opportunities, and business insights.
  • Support the development, testing, and refinement of machine learning and AI models.
  • Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
  • Develop visualizations, dashboards, reports, and presentations to communicate findings.
  • Partner with business stakeholders to understand challenges and translate them into analytical solutions.
  • Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
  • Document methodologies, assumptions, findings, and recommendations.
  • Present project outcomes and insights to technical and non-technical audiences.

Required Qualifications
  • Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
  • Anticipated graduation date of December 2027 or May 2028.
  • Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
  • Proficiency in Python, SQL, or other analytical programming languages.
  • Strong analytical, quantitative, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
  • Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
  • Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
  • Experience working with large-scale datasets and advanced statistical techniques.

Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
  • Prepares and delivers insights and recommendations based on analyses.
  • Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
  • Executes tasks directly related to functional projects and/or process improvements.
  • Communicates issues and roadblocks related to areas of responsibility.
  • May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.

Nature and Scope
  • Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
  • Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
  • May provide general guidance/direction to or train junior level support personnel.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
  • Typically requires overnight travel less than 10% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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