Data Scientist - ML engineer

Data Scientist - ML Engineer

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 concept to support a transformation business case and release your models to cloud-based state of the art production platform together with 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?

• We offer you a full-time challenging role in an international landscape based in Brussels or Rotterdam;
• Working in a dynamic environment at Allianz, world leader in insurances;
• You will work from our new office, from walkable distance from Brussel-North or Rotterdam Central station;
• A pleasant working atmosphere within an experienced and enthusiastic team;
• Development opportunities and a nice salary package supplemented with fringe benefits.

As Data Scientist, your main responsibilities will be:

• Model Development and Integration: Build, implement, and continuously enhance machine learning and statistical models using cutting-edge tools. Focus on integrating these models into our IT infrastructure, ensuring scalability, reliability, and performance. Collaborate with IT and DevOps teams to deploy models in production environments, monitor their performance, and optimize for efficiency. Translate business problems into robust data-driven solutions while maintaining best practices in version control, testing, and documentation.
• Collaborate with Stakeholders: Partner with business stakeholders to understand their challenges and convert them into actionable data science projects, ensuring that the solutions align with business objectives.
• Data Management and Analysis: Acquire, clean, and integrate data from various sources to address business issues. Use advanced data analytics techniques to manipulate and interpret complex datasets, providing clear insights and answers to critical business questions.
• Knowledge and Trend Analysis: Stay informed about the latest industry trends to maintain a competitive edge and apply this knowledge to drive strategic decisions and methodologies within the company.

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! Advanced skills in Python or R, proficiency in SQL and good knowledge of cloud data environments (e.g., Microsoft Azure)? Double 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.