Senior Data Scientist

Xccelerated | Part of Xebia; Amsterdam; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

MacBook and iPhone

Lunches & coffee bar

Hybrid work in Amsterdam

Job summary

Xccelerated, part of Xebia, is seeking a Senior Data Scientist to bridge data science and ML engineering. You will turn data into robust tools and models to help crews and planners make faster, better decisions and build sustainable aviation solutions for the future.

Join a team focused on real-time data, production-ready models, and scalable solutions. The role involves developing, testing, monitoring and maintaining models in live environments, with hybrid work flexibility in Amsterdam.

Qualifications

• 4–6 years of experience as a Data Scientist or ML engineer.
• Hands-on experience with modeling, analysis and productionizing models.
• Familiarity with open-source data tools and orchestration pipelines.

Responsibilities

• Extract insights from operational and flight data sources.
• Build and productionize AI/ML models for delays, maintenance and crew scheduling.
• Develop tools to make complex processes transparent for planners and crews.
• Work with real-time data to improve passenger and crew experience.

Skills

Data Science

ML Engineering

Spark

Kafka

Airflow

Kubernetes

Education

Background in Data Science / Analytics / OR

Tools

Spark

Kafka

Airflow

Kubernetes

Job description

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

What Xccelerated offers

• 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

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

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