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Chevron
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July 3, 2025
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2025-2026 Information Technology – Information and Analytics – Intern (Previous Intern)

Houston, Texas, United States of America
Internship
Onsite
$23/hr - $46/hr
Intern
Chevron Corporation is an integrated energy and technology company that believes affordable, reliable, and ever-cleaner energy is essential to achieving a more prosperous and sustainable world. They are seeking interns in Information Technology – Information and Analytics to support data-driven decision-making and advance business objectives through analytics and data management.

Responsibilities

  • 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
  • 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, and handle data challenges and opportunities
  • Ensure the 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
  • 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
  • Run machine learning experiments and fine-tune algorithms to ensure optimal performance
  • 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 the 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 agile team
  • Contribute to data analysis, data wrangling, data visualization, and acceptance testing
  • Present findings and new development to help refine backlog items
  • 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 the 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

Qualification

Required

  • Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.
  • Data acquisition, analysis, modeling, movement, transformation, and preparation experience
  • Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)
  • Data Analyst: Experience with data modeling, data management, data quality, SQL
  • Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS & SQL
  • Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.

Preferred

  • Currently enrolled in 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
  • Ability to communicate in a clear and concise manner both orally and in writing.
  • Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support
  • Experience designing custom APIs for machine learning models for training and inference processes.
  • Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.

Benefits

  • Variable pay
  • Health care coverage
  • Retirement plan
  • Protection coverage
  • Time off and leave programs
  • Training and development opportunities
  • A range of allowances connected to specific work situations
Chevron Corporation is an integrated energy and technology company that believes affordable, reliable, and ever-cleaner energy.
Glassdoor
4.1
Founded in 1879
San Ramon, California, USA
10001+ employees
http://www.chevron.com
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