Engineering Intern – Data & AI Automation

Thomson Reuters

Engineering Intern supporting data migration and utilizing Generative AI in AI Automation at Thomson Reuters. Collaborating with teams and contributing to technical documentation and analysis.

Posted 7/10/2026internshipMexico City • 🇲🇽 MexicoEntry LevelWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Assisting in daily operations and projects within the Product Engineering area.
Supporting data analysis, reporting, and documentation tasks.
Collaborating with cross-functional teams to ensure timely execution of deliverables.
Researching and preparing presentations or reports as needed.
Contributing ideas to improve processes and enhance team efficiency
Collect, map, and analyze data schemas and process flows required to convert data from competitor applications into our software suites.
Utilize Generative AI and Large Language Models (LLMs) to automatically generate, refine, and maintain high-quality technical documentation of competitor processes.
Collaborate closely with senior software engineers and data specialists to understand technical requirements and system architectures.
Perform data exploration and profiling to identify patterns, mapping rules, and potential transformation bottlenecks.
Verify the accuracy of LLM-generated documentation against actual database structures and codebases.
Participate in agile ceremonies (daily stand-ups, sprint planning, and reviews) to share progress and learn best practices in software engineering.

Requirements

What you’ll need

Currently pursuing a Bachelor's Degree in Computer Science, Software Engineering, Data Science, Business or a closely related technical field (with at least 1 year remaining before graduation).
Strong interest in Generative AI, Prompt Engineering, and working with LLMs (e.g., GPT, Claude, Gemini APIs).
Basic knowledge of databases, SQL, and data formats (JSON, XML, CSV).
Familiarity with at least one programming language (preferably Python) for basic data parsing or automation scripting.
Excellent analytical, critical thinking, and structured documentation skills.
Advanced intermediate to fluent English communication skills (written and verbal), as you will work with global teams.
Ability to work full-time (40 hours per week).
Ability to work on a hybrid model, attending the office twice a week.
A proactive attitude, strong curiosity, and an eagerness to learn modern engineering workflows.
Understanding and development of solutions to foster data lifecycle management.
Accountability for the successful execution of technology projects including support and maintenance releases, minor functional releases and major product.
Agile philosophy and scrum knowledge is a plus.

Benefits

Comp & perks

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.

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Hard Skills & Tools

Data AnalysisSQLPython ProgrammingData ParsingTechnical DocumentationData MappingData ExplorationProcess Flow AnalysisAgile MethodologyPrompt Engineering

Soft Skills

Analytical SkillsCritical ThinkingCommunication SkillsProactive AttitudeCuriosity