Medior Data Scientist & ML Engineer — Rotterdam Hybrid

Vermaat; Rotterdam; Hybrid; EUR 53,000 - 63,000; Full time

Benefits offered by this job

Competitive salary starting at €5200

Bonus 12.5% of gross annual salary

8% holiday allowance

Home working allowance up to €40/month

Pension plan

Permanent contract

Office in Rotterdam

Annual parties

Discount on Allianz Direct products

Job summary

Allianz Direct in Rotterdam is seeking a medior Data Scientist / ML Engineer to build and deploy ML solutions end-to-end. You will work with an international team on pricing, claims, and customer operations, using Python, Databricks, and modern ML tooling.

You should have 5+ years in DS/ML, an MSc/PhD in a technical field, English fluency, and a strong ML foundation. The role offers hybrid work with a competitive salary and benefits.

Qualifications

• MSc or PhD in a relevant technical field such as computer science, data science, physics, econometrics, or engineering.
• At least 5 years of experience in a similar data science or ML engineering role.
• Strong Python coding skills and experience with libraries like pandas and scikit-learn.
• Experience with ML model deployment, monitoring, and MLOps on Databricks is a strong plus.
• Fluency in English and ability to communicate complex topics clearly.

Responsibilities

• Develop and deploy end-to-end ML solutions, from ideation with stakeholders to deployment and monitoring.
• Tackle pricing, claims, customer contact center, and operations modelling problems.
• Collaborate with dev engineers to embed deployed models into business processes.
• Contribute to the ML platform and knowledge-sharing sessions.

Skills

Python programming

ML fundamentals

Self-learning

English fluency

Education

MSc or PhD in CS/DS/Physics/Engineering

Tools

Databricks

AzureML

MLflow

pandas

scikit-learn

Job description

Allianz Direct in Rotterdam is seeking a medior Data Scientist / ML Engineer to build and deploy ML solutions end-to-end. You will work with an international team on pricing, claims, and customer operations, using Python, Databricks, and modern ML tooling.

You should have 5+ years in DS/ML, an MSc/PhD in a technical field, English fluency, and a strong ML foundation. The role offers hybrid work with a competitive salary and benefits.