MP DATA is a Paris-based consulting firm focused on data science, engineering, and operations research for large enterprises. The stack reveals a mature data infrastructure practice: Spark, Airflow, Databricks, Snowflake, and Delta Lake dominate, with active adoption of RAG systems. The hiring mix is heavily weighted toward data roles (31 of 40 open positions), with senior and mid-level talent, indicating they're scaling delivery capacity rather than building product—a typical consulting profile. Active projects span ML operationalization (production model deployment, predictive maintenance in automotive), data pipeline industrialization, and emerging GenAI integration, while pain points cluster around inference performance, pipeline scaling, and delivery reliability.
Tech Stack 91 technologies
What MP DATA Is Building
◆Challenges
- Performance optimization of inference
- Scaling data pipelines
- Optimizing data collection and transfer processes
- Industrializing rag architecture
- Maintaining up-to-date data tools
- High volatility of delivery dates
- Reducing delivery error
- Reducing and optimizing costs
- Scaling genai assistants
- Adapting language models to specific needs
▲Active Projects
- Industrialization of data solutions
- Deployment of ml models in production
- Industrialization of demand forecasting models
- Détecter automatiquement les dérives de rendement d’une éolienne offshore
- Industrializing rag architecture
- Poc data development
- Maintenance prédictive sur des lignes d’assemblage de véhicule électrique
- Mise en place de l’ia dans les cockpits du futur
- Data transformation pipelines
- Industrial reporting solution deployment
