Senior Data Scientist / Machine Learning Engineer (M/F/X) - €6.500 A Month
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Summary
Senior data scientist / ML engineer at Allianz Direct (a digital insurer) who builds, deploys, and monitors machine learning models end-to-end for pricing, claims, and customer operations. Works on a Python/Databricks/AzureML/MLflow stack in a hybrid role based in Rotterdam.
Join Allianz Direct!
The machine learning engineering chapter at Allianz Direct is a global team consisting of experienced data scientists / machine learning engineers pioneering new use cases in insurance and building a modern machine learning platform. The team is responsible for the development, deployment, and maintenance of machine learning models in all 5 countries where Allianz Direct is currently active. We are looking for a senior data scientist / ML engineer to grow the team in Rotterdam and build and deploy machine learning solutions to serve business needs.
You Will Get To
Work with experienced data scientists / ML engineers and focus on building one or two machine learning solutions at a time. Develop your models end‑to‑end, from ideation with business stakeholders to deployment and monitoring.
Dive into a range of challenging modelling problems around our pricing engine, claim processes, customer contact centre and operations. You can expect to tackle problems using classification, regression, anomaly detection, survival modelling, time series and large language models.
Utilise our mature next‑generation data platform hosted on Databricks, containing well‑organised data across all Allianz Direct countries.
Help to extend our machine learning platform used for development and deployment of a range of models, in both batch and API inference modes.
Collaborate with dev engineers to embed a deployed model into company processes.
Contribute to our continuously evolving way of working and internal packages, as well as benefit from and contribute to our weekly knowledge‑sharing sessions.
Work on a modern tech stack. We use Python, Databricks, AzureML, MLflow and can leverage shared compute for large training jobs.
Work together with diverse international colleagues based in Spain, Netherlands, Germany, Italy, and France.
Your Profile
Academic degree (MSc or PhD), preferably in a relevant technical field such as computer science, data science, physics, econometrics, or engineering.
A strong foundation in machine learning theory. You know how to properly apply a wide range of algorithms for classification, regression, and other predictive problems.
At least 5 years of experience in a similar data science or ML engineering role.
A love for coding. Programming experience in Python is required and you are familiar with libraries like pandas/scikit‑learn, and have experience doing hyper‑parameter tuning for a diverse set of models including boosting models.
Experience with MLOps on Databricks or experience within the insurance business is a strong plus.
You are a self‑learner. You are eager to keep developing and improving, and stay on top of the latest developments. You enjoy both sharing knowledge and learning from others.
Fluent in English. Able to communicate complex topics in a clear and precise manner to audiences with different backgrounds and at different levels.
Located in the Netherlands, since this hybrid role requires working with the team at the office location in Rotterdam.
What We Offer
An attractive monthly salary based on knowledge and experience, starting at €6,500.00 (based on full‑time employment of 38 hours).
A bonus of 12.5% of your gross annual salary and 8% holiday allowance.
An NS business card which you can also use privately, or a travel allowance (€0.23/km).
Flexible working: 60/40 home/office, for which you will receive a home working allowance of up to €40.00 per month.
Vacation days: 25 for full‑time employment. You can get up to 38 vacation days per year for 40 hours per week.
A pension plan with a small personal contribution of only 3.5%.
An annual contract with the intention of a permanent contract.
A prime office location in the heart of Rotterdam, close to shops and restaurants.
Festive moments are celebrated: an extensive end‑of‑year drinks party and a fun summer party.
Discount on Allianz Direct insurance products.
About Us
Allianz Direct is Europe's leading digital insurer. We are building a fully data‑driven organisation in which technology, automation, and customer experience are central. As an ML engineer, you will play a key role in realizing that ambition. You will ensure that the available data is used intelligently to continuously improve our products, processes, and customer interactions.
We invest in your personal and professional growth so that you can be successful in your work and beyond.
Allianz Group is een van de meest vertrouwde verzekerings‑ en vermogensbeheerbedrijven ter wereld. De zorg voor onze medewerkers, hun ambities, dromen en uitdagingen, maakt ons tot een unieke werkgever. Samen kunnen we een omgeving opbouwen waarin iedereen zich gesterkt voelt en het vertrouwen heeft om te verkennen, te groeien en een betere toekomst vorm te geven voor onze klanten en de wereld om ons heen.
Wij bij Allianz geloven in een divers en inclusief personeelsbestand en zijn er trots op een werkgever te zijn die gelijke kansen biedt. We moedigen je aan om met je hele zelf aan het werk te gaan, ongeacht waar je vandaan komt, hoe je eruit ziet, van wie je houdt of waar je in gelooft. We verwelkomen daarom sollicitaties ongeacht etniciteit of culturele achtergrond, leeftijd, geslacht, nationaliteit, religie, handicap of seksuele geaardheid.
Great to have you on board. Let’s care for tomorrow.
The machine learning engineering chapter at Allianz Direct is a global team consisting of experienced data scientists / machine learning engineers pioneering new use cases in insurance and building a modern machine learning platform. The team is responsible for the development, deployment, and maintenance of machine learning models in all 5 countries where Allianz Direct is currently active. We are looking for a senior data scientist / ML engineer to grow the team in Rotterdam and build and deploy machine learning solutions to serve business needs.
You Will Get To
Work with experienced data scientists / ML engineers and focus on building one or two machine learning solutions at a time. Develop your models end‑to‑end, from ideation with business stakeholders to deployment and monitoring.
Dive into a range of challenging modelling problems around our pricing engine, claim processes, customer contact centre and operations. You can expect to tackle problems using classification, regression, anomaly detection, survival modelling, time series and large language models.
Utilise our mature next‑generation data platform hosted on Databricks, containing well‑organised data across all Allianz Direct countries.
Help to extend our machine learning platform used for development and deployment of a range of models, in both batch and API inference modes.
Collaborate with dev engineers to embed a deployed model into company processes.
Contribute to our continuously evolving way of working and internal packages, as well as benefit from and contribute to our weekly knowledge‑sharing sessions.
Work on a modern tech stack. We use Python, Databricks, AzureML, MLflow and can leverage shared compute for large training jobs.
Work together with diverse international colleagues based in Spain, Netherlands, Germany, Italy, and France.
Your Profile
Academic degree (MSc or PhD), preferably in a relevant technical field such as computer science, data science, physics, econometrics, or engineering.
A strong foundation in machine learning theory. You know how to properly apply a wide range of algorithms for classification, regression, and other predictive problems.
At least 5 years of experience in a similar data science or ML engineering role.
A love for coding. Programming experience in Python is required and you are familiar with libraries like pandas/scikit‑learn, and have experience doing hyper‑parameter tuning for a diverse set of models including boosting models.
Experience with MLOps on Databricks or experience within the insurance business is a strong plus.
You are a self‑learner. You are eager to keep developing and improving, and stay on top of the latest developments. You enjoy both sharing knowledge and learning from others.
Fluent in English. Able to communicate complex topics in a clear and precise manner to audiences with different backgrounds and at different levels.
Located in the Netherlands, since this hybrid role requires working with the team at the office location in Rotterdam.
What We Offer
An attractive monthly salary based on knowledge and experience, starting at €6,500.00 (based on full‑time employment of 38 hours).
A bonus of 12.5% of your gross annual salary and 8% holiday allowance.
An NS business card which you can also use privately, or a travel allowance (€0.23/km).
Flexible working: 60/40 home/office, for which you will receive a home working allowance of up to €40.00 per month.
Vacation days: 25 for full‑time employment. You can get up to 38 vacation days per year for 40 hours per week.
A pension plan with a small personal contribution of only 3.5%.
An annual contract with the intention of a permanent contract.
A prime office location in the heart of Rotterdam, close to shops and restaurants.
Festive moments are celebrated: an extensive end‑of‑year drinks party and a fun summer party.
Discount on Allianz Direct insurance products.
About Us
Allianz Direct is Europe's leading digital insurer. We are building a fully data‑driven organisation in which technology, automation, and customer experience are central. As an ML engineer, you will play a key role in realizing that ambition. You will ensure that the available data is used intelligently to continuously improve our products, processes, and customer interactions.
We invest in your personal and professional growth so that you can be successful in your work and beyond.
Allianz Group is een van de meest vertrouwde verzekerings‑ en vermogensbeheerbedrijven ter wereld. De zorg voor onze medewerkers, hun ambities, dromen en uitdagingen, maakt ons tot een unieke werkgever. Samen kunnen we een omgeving opbouwen waarin iedereen zich gesterkt voelt en het vertrouwen heeft om te verkennen, te groeien en een betere toekomst vorm te geven voor onze klanten en de wereld om ons heen.
Wij bij Allianz geloven in een divers en inclusief personeelsbestand en zijn er trots op een werkgever te zijn die gelijke kansen biedt. We moedigen je aan om met je hele zelf aan het werk te gaan, ongeacht waar je vandaan komt, hoe je eruit ziet, van wie je houdt of waar je in gelooft. We verwelkomen daarom sollicitaties ongeacht etniciteit of culturele achtergrond, leeftijd, geslacht, nationaliteit, religie, handicap of seksuele geaardheid.
Great to have you on board. Let’s care for tomorrow.