2026-2027 Information Technology – Information Technology Intern (Previous Intern

Chevron is seeking interns for its Information & Analytics family who thrive in a cutting edge digital, global environment to support the energy transition.

Location:

Houston, TX.

• Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation.
• Identify data necessary and appropriate technology to solve business challenges.
• Clean data, develop models, and test models.
• Establish the life cycle management process for models.
• Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.

• Currently enrolled in a bachelor’s or master’s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related engineering degree.
• Demonstrated depth in advanced analytics/data science technologies.
• Strong programming skills in Python and SQL.
• Excellent communication skills, both oral and written.

Location:

Houston, TX.

• Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns.
• Create and manage data pipelines that enable advanced analytics models.
• Ensure scalability and reliability of model deployment, and document the technical aspects of the process.
• Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows.

Location:

Houston, TX.

• Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation.
• Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures.
• Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines.
• Build machine and deep learning systems optimized for scalability and performance.
• Transform data science prototypes into scalable solutions in a production environment.
• Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable, and resilient machine learning and optimization workloads into an enterprise software product.

Location:

Houston, TX.

• Access, gather, and analyze data from source systems.
• Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.).
• Drive insights to business problems by visualizing data and telling a story through data (report patterns, trends, anomalies, etc.).
• Participate in the end-to-end product development lifecycle as a member of an agile team.
• Contribute to data analysis, data wrangling, data visualization, and acceptance testing.
• Present findings and new development to help refine backlog items.

Location:

Houston, TX.

• Understand the business use of data and stakeholder requirements to support strategic business objectives.
• Collaborate with delivery teams to provide data management direction and support for initiatives and product development.
• Contribute to the design of common information models.
• Consult on appropriate data integration patterns, data modeling, and data quality.
• Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process.

U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decisions, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities.