Data Scientist

Overview

CHAMP Cargosystems provides the most comprehensive range of integrated IT solutions and distribution services for the air cargo transport chain. The portfolio spans core management systems, messaging services, and eCargo solutions. These include applications to meet customs and security requirements, quality optimization as well as e-freight and mobility needs. The products and services are well known under the Cargospot and Traxon brands.

The company serves over 200 airlines and GSAs, and links these with some 3,000 forwarders and GHAs worldwide. CHAMP’s solutions help its customers and their clients adapt to critical and continuous changes in air transport logistics to meet global trade demands.

CHAMP Cargosystems is headquartered in Luxembourg and operates offices in Barcelona, London, Zurich, Frankfurt, Manila, Singapore and Atlanta.

CHAMP’s Innovation and Insights Business Unit is driven by the following mission "Capture innovation for and with our customers, by uncovering disruptions, so that we offer today the best of tomorrow". To fulfil this mission, we seek professionals fuel by our same values of curiosity, agility, cooperation, and customer-centricity.

We are currently looking for a Data Scientist to join our team and help us shape the next generation of ML-powered products.

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 customers, 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, with the ability to interpret data, challenge assumptions, measure outcomes, and recommend actions based on evidence.
• Good understanding of data preparation, feature engineering, model evaluation, explainability, and performance monitoring.
• Experience with predictive modelling techniques, including XGBoost and other relevant algorithms, with the ability to fine-tune models to improve accuracy, robustness, and business relevance.
• Experience working with SQL and databases such as PostgreSQL, Oracle, MongoDB, or similar technologies to prepare reliable ML-ready datasets.
• Practical knowledge of MLOps and product integration, including APIs, version control, testing, CI/CD, model deployment, monitoring, and documentation.
• Ability to use AI tools effectively to accelerate development, research, prototyping, documentation, troubleshooting, and continuous learning while applying sound engineering judgement.

Education and Experience:

• Education: Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Advanced degrees preferred.
• Experience: Proven experience in data science, machine learning, and statistical analysis.
• Minimum of 3 years' experience in ML development.
• A plus: prior experience in a startup.

The selected candidate may be subject to the provision of an up-to-date (not older than 3 months) criminal record certificate.

Please note that any personal data that you submit along with your application will be processed by CHAMP and may be processed by any of its global entities as necessary. These data will be treated in strict compliance with the applicable data protection legislation (i.e. the Law of 2 August 2002 on the protection of individuals with regard to the processing of personal data, as amended, and Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016, - the GDPR -, which entered into force on 25 May 2018, as well as any other subsequent regulation).

Further details on what is considered personal data, how it is processed by CHAMP as well as your rights in this regard can be found here. Any questions relating to this should be addressed to CHAMP’s Data Protection Officer:

Gertrud Huberty

2, rue Edmond Reuter

Zone d'Activités "Weiergewan"

L-5326 Contern

Luxembourg

Email: [email protected] (Please do not use this email to send job application)