Join Our AI and Data Science Team at Tryg!

Are you passionate about AI and Analytics?

Are you ready to develop and manage predictive models, conduct experimental analyses, and optimize applications? If yes, you might be the Data Scientist we are looking for to join our AI and Data Science team.

AI is a priority at Tryg, and we are expanding our dynamic team to support thrilling new initiatives.

About Us | Extensive Networking and a Focus on Collaboration

Our AI and Data Science group operates alongside the Data & BI department, supporting our Claims business in Denmark with the right data and AI solutions for operational efficiency, digitalization, customer experiences, quality assurance, and process optimization.

Join our relatively new AI and Data Science team—a strong professional environment where we continually aim to ensure ongoing development. With high engagement, plenty of great ideas, and a positive atmosphere, we emphasize teamwork, professional development, and a healthy social working environment that makes workdays both fun and efficient.

We value cross-departmental collaboration, and as a Data Scientist in our AI & Data Science unit, you will work closely with colleagues and our Tryg Data Scientist community. This collaboration provides a strong network that enhances your ability to complete tasks efficiently and continuously advance your skills. Effective collaboration is essential to our work culture.

The Role | Operational Analytics & Data Science

As a Data Scientist, you will engage in various tasks within Operational Analytics & Data Science. This includes developing and operating predictive models, A/B testing, webservices, and cloud computing. Our focus is on creating value, which might require simple rules or more complex statistical models.

Tryg is committed to an ambitious AI and data strategy, aiming to establish a Cloud-based data and analytics platform to enhance data availability, streamline processes, and equip with the right tools.

Your typical responsibilities will include:

• Developing and training predictive models.
• Operating models and applications in the cloud.
• Integrating data sources into new and existing applications.
• Conducting effect measurement through monitoring and A/B testing.
• Developing services for interaction and monitoring applications.
• Working with GenAI and LLM.

The primary tools we use include Microsoft Azure with Python, Kubernetes, Docker, GitLab, Kafka, and SQL, but we are always open to new technologies.

About You | Skilled Data Scientist Focused on Value-Creating Data Science Solutions

We expect you to have a relevant degree in Computer Science, Data Science, Statistics, Mathematics, or similar areas. Hands-on experience with the end-to-end Machine Learning process, including data handling, model development, and implementation and monitoring of models in production, is ideal.

A familiarity with the most common Data Science tools and languages is expected, with proficiency in Python being essential. Knowledge of Kubernetes, Microsoft Azure, Docker, GitLab, Kafka, SQL, etc., will be an advantage.

Most importantly, you should be eager to make a difference through the development of predictive models and experimental analyses with our team!

We look forward to hearing from you! If you have questions or want more information, please contact Head of Data & BI, Anette Schrøder Mikkelsen at [email protected].

We are committed to a fair and inclusive recruitment process with equal opportunities for everyone and invite you to apply without including a photo in your CV.

Apply today as we are reviewing applicants on an ongoing basis but no later than May 26, 2024.