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CHAMP neo Platform

A smarter, more flexible, and automated foundation for all your air cargo operations

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Cargo Management

E-Cargo

Insights

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Designed for emerging and regional airlines, this solution transforms real-time data from existing Cargospot users into strategic insights.

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CHAMP's ONE Record solution

Use cases

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Your complete guide to ONE Record adoption, offering practical guidance for every step from implementation to long-term success.
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Data Scientist

Reporting to Business Intelligence Manager

Location: Spain

Publication Date:  24/07/2026

If you apply, please include your CV.

APPLY HERE

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:

  • 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.

 

 

Our culture and values

We believe happy employees create thriving work environments. With over 500 team members from 32 countries, speaking over 30 languages, CHAMP is a uniquely diverse and welcoming place to work. Our globally minded staff collaborates with clients and vendors worldwide from our offices in London, Zürich, Manila, Atlanta, Singapore, and our Headquarters in the Grand Duchy of Luxembourg.
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Security: the successful candidate will have to comply with CHAMP Security Requirements (including but not limited to CHAMP’s IT Security Policies, especially the ISMS Policy and the Acceptable Use Policy, mandatory courses, confidentiality and data protection, use of company assets, and incident reporting).

  

CHAMP Cargosystems is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, ethnic background, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

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).Please follow the link to the CHAMP Candidates Privacy Notice for further information.