Senior Data Scientist / MLOPS

Xebia Group; Amsterdam; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Good salary

25 vacation days

Technical trainings & Innovation days

Macbook and Iphone

Lunches and coffee bar

Flexibility in working from home & at

Job summary

Xccelerated in Amsterdam is seeking a Senior Data Scientist to join the Data team that blends data science with ML engineering. You’ll turn data into production-ready models and tools that help crews and planners make faster, better decisions in aviation.

You’ll work on extracting insights from diverse data sources, building and productionizing AI/ML models, and contributing to large-scale optimization projects. The role emphasizes deploying models in live environments and ongoing monitoring.

Qualifications

• 4–6 years of work experience as a Data Scientist or ML professional.
• Hands-on experience with both data science and ML deployment into production.
• Knowledge of open-source tech like Spark, Kafka, Airflow or Kubernetes.

Responsibilities

• Extract insights from fast-growing operational and flight data sources.
• Build and productionize AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
• Contribute to large-scale optimization and simulation projects.
• Develop tools that make complex processes transparent for planners and crews, enabling faster decision-making.
• Work with real-time data and robust calculations to improve passenger and crew experience.

Skills

Data science

Machine learning

Spark

Kafka

Airflow

Kubernetes

Tools

Spark

Kafka

Airflow

Kubernetes

Job description

Senior Data Scientist | Amsterdam | Hybrid

We're looking for a Senior Data Scientist to join our growing Data team working at the intersection of Data Science and Machine Learning Engineering. As part of this team, you'll turn that data into tools and models that help crews and planners make better, faster decisions and build sustainable solutions for the aviation of the future.

This isn't a role about isolated proof-of-concepts. The focus is on getting models robust and running at scale in a live environment: from analysis and model development through to testing, monitoring and maintaining them once they're actually in use.

What you'll work on

• Extracting insights from fast-growing operational and flight data sources
• Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
• Contributing to large-scale optimization and simulation projects
• Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making
• Working with real-time data and smart calculations to improve the passenger and crew experience

This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

• A background in Data Science, Business Analytics, or Operations Research
• 4-6 years of work experience as a Data scientist or ML
• Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production
• Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

What Xccelerated offers

• Good salary
• 25 vacation days
• Technical trainings & Innovation days for a full year (every week)
• Challenging assignment
• Macbook and Iphone
• Lunches, amazing coffee and snack bar
• Flexibility in working from home & at the office in Amsterdam

Application Process

• First interview with one of our Recruitment consultants
• Technical interview with one of our Technical leads

We aim to complete an application process (from application to offer) within 1-3 weeks. As you will un