Reporting to Business Intelligence Manager
Reporting to the Business Intelligence Manager, you will participate in the construction of new AI and machine learning-based services. CHAMP launched its first 100% AI -based product in 2023 and is expanding its portfolio by integrating Artificial Intelligence and Machine Learning capabilities into both existing products and new solutions, helping customers improve automation, decision-making, operational efficiency, and customer experience while capitalizing on CHAMP's market leader position.
Responsibilities Translate functional requirements into machine learning deliverables
Create and maintain datasets and models over time
Be able to prototype solutions.
Be a team player, collaborate with both external and internal parties to develop and support CHAMP's activities.
Actively explore new technological opportunities.
Listen to our clients, contribute to driving evolutions and improvements of our solutions.
Liaise with the BI team to get the datasets created,



fed and maintained to ensure the proper functioning of the machine learning models
Support the development of new data products.
Provide expertise for, advice on and demonstrations of our ML solutions to both internal and external parties.
Deliver working solutions on time, on cost, and on specifications.
Ethics and Privacy: ensure ethical use of data and models by Implementing privacy-preserving techniques and comply with data protection regulations.
Documentation and Reporting: Document processes, methodologies, and project outcomes comprehensively.
Knowledge, Skills and Abilities Strong proficiency in Python and machine learning, with the ability to design, train, validate, deploy, and maintain models for real business use cases.
Product mindset, with the ability to understand customer needs, business value, product impact, and how AI and ML capabilities can be translated into practical product features.
Strong analytical skills and data-driven decision-making, wit

📌 Data Scientist (España)
🏢 CHAMP Cargosystems
📍 España