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Data & AI Engineer Intern
fifty-five. Conduct an in-depth audit of Google Meridian v2.0’s open-source codebase .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong Python development skills and a solid understanding of software engineering fundamentals, with the ability to conduct code audits and optimize database queries. Proficient in utilizing AI coding assistants and familiar with BigQuery and Model Context Protocol (MCP) for effective data manipulation and integration.
Highest-signal resume keywords
Python DevelopmentSQL Data-ManipulationBigQueryModel Context Protocol (MCP)Git Version Control
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python DevelopmentSQL Data-ManipulationBigQueryModel Context Protocol (MCP)Git Version ControlAI Coding AssistantsSoftware Engineering FundamentalsData OptimizationUnit TestingCode Auditing
Soft Skills
CuriousSelf-MotivatedClear Communication
Tools & Technologies
Claude CodeGoogle Cloud PlatformCursorCopilotLangGraphLangChain
Industry Keywords
Open-Source CodebaseVibe-Coding WorkflowsTechnical DocumentationIntegration Best PracticesLarge-Scale Datasets
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Conduct an in-depth audit of Google Meridian v2.0’s open-source codebase
- Identify breaking changes and optimization opportunities
- Design Python test scripts and proofs of concept (PoCs) to validate the execution of new models
- Connect and feed test pipelines from BigQuery environments
- Make technical concepts accessible and share integration best practices with the team
- Use Claude Code and the Model Context Protocol (MCP) architecture to map dependencies, generate shims/wrappers, create unit tests, and accelerate technical documentation
- Contribute, as needed, to structuring BigQuery tables and optimizing queries on large-scale datasets
Requirements
What you’ll need- Currently enrolled in an engineering or computer science program, or an equivalent university master’s degree (fourth- or fifth-year level)
- Excellent command of Python development
- Strong database and SQL data-manipulation skills
- Advanced, thoughtful use of AI coding assistants in local or CLI environments (Claude Code, Cursor, Copilot)
- Strong interest in Model Context Protocol (MCP) extension protocols and hands-on experience with vibe-coding workflows
- Solid understanding of software engineering fundamentals and version control (Git)
- Curious and self-motivated, with the ability to explore an unfamiliar codebase and formulate clear recommendations
- Fluent in French and English
- Authorized to work in France
- Experience with BigQuery or Google Cloud Platform is a major asset
- Practical experience with agentic AI workflows is a plus
- Familiarity with LangGraph or LangChain is a plus
- A GitHub profile featuring personal projects that demonstrate coding or AI automation skills is a plus
- No prior knowledge of Marketing Mix Modeling (MMM) or advanced statistics is required
Benefits
Comp & perks- A one-week onboarding program shared by all our Nifties, along with ongoing, recognized training on the digital ecosystem and its technologies
- Meaningful, progressively challenging assignments designed to help you gain the maximum possible experience and skills
- An Edenred+ meal voucher card worth €10 per day, reimbursed at 50%
- 50% coverage of public transport passes (Navigo, bicycle, etc.)
- A strong focus on work-life balance, in accordance with the right to disconnect
- A flexible remote-work policy
- A multicultural environment with more than 20 nationalities
- A culture built around excellence, kindness, and knowledge sharing