To reinforce our Benelux Data Office department, Allianz is currently looking for a Data Scientist. Are you looking for a role where you can be at the forefront of using cutting-edge data analytics techniques to drive strategic decisions and provide innovative solutions for business challenges? Join us at Allianz and be part of our dynamic team that leverages data science to drive innovation and make a meaningful impact in the insurance sector!
As a Data Scientist at Allianz, you will develop end-to-end, data-driven solutions to support decision-making systems at Allianz. You will engage with business functions to develop ideas, proof of concepts and minimal viable products to support a transformation business case and release your models to cloud-based (Azure) state of the art production platform together with the support of IT, senior engineers, and scientists. You will analyze information from various data sources using statistics, including machine learning, to provide insights on various business problems. You will develop end-to-end, data-driven solutions (incl. GenAI) to support decision-making systems at Allianz.
What do you get in return?
As Data Scientist, your main responsibilities will be:
Let’s do the match?
You have a Bachelors/Masters degree in a quantitative field such as Computer Science, Engineering, Econometrics, Physics, Actuarial, Statistics, or Mathematics? Check! Knowledge of machine learning principles and unsupervised machine learning techniques, including linear models and tree-based methods for regression and classification? Check! Ability to easily interpret common performance metrics? Check! Proficiency in Python (libraries like scikit-learn, pandas) and experience with data manipulation/analysis? Check! Familiarity with version control (e.g., Git) is a plus. Passion for machine learning and GenAI frameworks? Check !
Have we peaked your interest? Join us and #LetsCareForTomorrow
Allianz is an equal opportunity employer and therefore welcomes applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.