RATP Smart Systems

About the Company

A subsidiary of the RATP Group, Ixxi offers you its expertise in passenger information and ticketing services. Ixxi proposes and operates seamless solutions using its own components, which are
easily adaptable to different user environments.


Smart Traveller’s Information
Our traveller's Information solutions can take data from any operator, mode or services, under any format and dispatch them to the appropriate medium/location; increasing pax satisfaction while ensuring data integrity. Our software are dev-friendly and the rights transferable, making your long term vision a reality rather than a challenge. Our recent works include mobile apps, as well as dynamic information boards. We aim at making transportation accessible and also develop solutions for the visually impaired

E-ticketing
We provide secured solutions enabling 3rd parties to load tickets onto smartcards, or NFC devices via various channels: ATMs, web portals or retailers; lowering distribution costs and increasing customer satisfaction. Our solutions are adaptable and scalable ensuring long term continuity. Recent works include OTA reloading for the Montreal area, and ATM reloading for RATP

Ixxi’s mission is to accompany you into a greater, smarter mobility perspective.

Listed Jobs

Company Name

RATP Smart Systems

Job Title

STAGE - DATASCIENCE

Job Description

**Job Title:** Data Science Internship (R&D) **Role Summary:** Support R&D for route‑ranking algorithms in a mobility application. Conduct literature review, data analysis, and design a novel ranking/ordering method for public transport itineraries. Implement the solution in Python (or C++/Rust) and validate it within the existing search engine. **Expectations:** * 4–6 month internship, full‑time. * Work remotely 2–3 days per week and attend onsite as needed. * Deliver a functioning ranking method that can be integrated into the production system. * Demonstrate analytical rigor and innovative thinking. **Key Responsibilities:** 1. Review existing literature on ranking and scoring for public transport and related domains. 2. Analyze user‑log data to understand real‑world itinerary usage patterns. 3. Design and prototype a route‑ranking algorithm (e.g., Pareto front, fuzzy comparison, other approaches). 4. Implement the algorithm in Python (mandatory), optionally in C++ or Rust. 5. Integrate and test the method within the current RAPTOR‑based search engine. 6. Evaluate performance, accuracy, and scalability; iterate based on results. 7. Collaborate with development and R&D teams to align with product objectives. **Required Skills:** * Advanced programming in Python (mandatory); proficiency in C++ or Rust is a plus. * Strong analytical and mathematical background, especially in operations research or applied mathematics. * Familiarity with algorithm design, data structures, and performance optimization. * Experience with data analysis and handling large log datasets. * Ability to work independently, ask clarifying questions, and deliver clear documentation. * Good communication skills in English (additional language skills welcome). **Required Education & Certifications:** * Current enrollment in a Master’s program (M2) in Computer Science, Applied Mathematics, Operations Research, or a closely related field. * Coursework or research experience in optimization, ranking algorithms, or transportation systems preferred.

Paris, France

Hybrid

28-01-2026