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Are you an experienced machine learning engineer with a knack for developing, deploying, and maintaining machine learning models?
Do you excel at collaborating with Data Scientists to improve model performance and scalability?
If you have a passion for making complex processes and systems work seamlessly to deliver value to the business, we want to hear from you.
Tryg has launched its strategic goals for 2027, with ambitions goals for automation and customer satisfaction in claim handling. To support these goals, we are increasing the investment in data science.
Key responsibilities:
Requirements:
We are a team consisting of 13 data engineers and data scientists, supporting all business units in Norway with AI/ML-models, streaming architecture applications and system integrations. We have close collaboration with similar teams in Denmark and Sweden. Our Data Science department is at the forefront of delivering value to the business units.
Curious?
Reach out to Head of Data Science, Ole-Petter Moe-Hansen (phone: +47 995 32 480) if you have any specific questions. Apply as soon as possible and within February 16, 2025 at the latest. We will get in touch with you as soon as possible for interviews.
Vi oppfordrer alle uansett kjønnsidentitet, alder, opprinnelse eller bakgrunn til å søke stillingen. I Tryg har vi høy medarbeidertilfredshet og et sterkt tverrfaglig miljø med meget gode muligheter for karriereutvikling. Vi er Skandinavias største skadeforsikringsselskap med over 7500 dedikerte medarbeidere i Norge, Sverige og Danmark. Den røde og hvite livbøyen er en del av DNA’et vårt, og et synlig bevis på alt vi står for. For oss handler forsikring om å gjøre ting enkelt for kundene våre. Om tillit og ansvar. Om det å være en trygghetsskaper. Ikke bare i ordet. Men også i handling. Les mer på www.tryg.no
Vi gjør oppmerksom på at det kan bli krevd fremlegging av ordinær politiattest etter politiregisterloven
Do you excel at collaborating with Data Scientists to improve model performance and scalability?
If you have a passion for making complex processes and systems work seamlessly to deliver value to the business, we want to hear from you.
Tryg has launched its strategic goals for 2027, with ambitions goals for automation and customer satisfaction in claim handling. To support these goals, we are increasing the investment in data science.
Key responsibilities:
- Support Data Science Lead in navigating the technological landscape
- Deploy, maintain and monitor machine learning models
- Collaborate with Data Scientists to improve model performance and scalability
- Implement and manage ML operations using our tech stack, including Python, uv, GitLab, Kubernetes, Docker and Prefect
- Provide technical guidance to Data Scientists to supplement their skills
- Ensure best practices from development to decommissioning of models
Requirements:
- M.Sc. in computer science, data science, machine learning or similar
- Proven experience as a Machine Learning Engineer or similar role
- Strong proficiency in Python
- Hands-on experience with GitLab for code versioning
- Expertise in containerization and orchestration using Kubernetes and Docker
- Familiarity with Prefect for workflow orchestration
- Ability to work collaboratively in a team environment
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Knowledge of MLOps practices and tools
- Experience in the insurance industry or a related field
- Experience with cloud platforms such as AWS or Azure
- Proficiency in SQL and data analysis.
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong innovation and collaboration skills
- Communication: You have excellent communication skills and can explain complex technical concepts in an understandable way to non-technical stakeholders
- Collaboration: You thrive in a team environment and can collaborate effectively with colleagues across departments
- Eager to Learn: You are curious and have a strong desire for continuous learning and development
- Initiative: You are proactive and take the initiative to improve processes and systems
- Adaptable: You are flexible and can quickly adapt to changes in technology and work methods
We are a team consisting of 13 data engineers and data scientists, supporting all business units in Norway with AI/ML-models, streaming architecture applications and system integrations. We have close collaboration with similar teams in Denmark and Sweden. Our Data Science department is at the forefront of delivering value to the business units.
Curious?
Reach out to Head of Data Science, Ole-Petter Moe-Hansen (phone: +47 995 32 480) if you have any specific questions. Apply as soon as possible and within February 16, 2025 at the latest. We will get in touch with you as soon as possible for interviews.
Vi oppfordrer alle uansett kjønnsidentitet, alder, opprinnelse eller bakgrunn til å søke stillingen. I Tryg har vi høy medarbeidertilfredshet og et sterkt tverrfaglig miljø med meget gode muligheter for karriereutvikling. Vi er Skandinavias største skadeforsikringsselskap med over 7500 dedikerte medarbeidere i Norge, Sverige og Danmark. Den røde og hvite livbøyen er en del av DNA’et vårt, og et synlig bevis på alt vi står for. For oss handler forsikring om å gjøre ting enkelt for kundene våre. Om tillit og ansvar. Om det å være en trygghetsskaper. Ikke bare i ordet. Men også i handling. Les mer på www.tryg.no
Vi gjør oppmerksom på at det kan bli krevd fremlegging av ordinær politiattest etter politiregisterloven
- 40 og bekreftelse fra Brønnøysundregistrene om at du ikke er under konkursbehandling, konkurskarantene eller gjeldsforhandling. Dette gjelder stillinger som går innunder Finansforetaksloven
- 16-12 første ledd bokstav b og 16-12 andre ledd.
Key Skills
Ranked by relevance
machine learning
kubernetes
python
docker
gitlab
containerization
deep learning
data analysis
tensorflow
pytorch
cloud
excel
mlops
sql
aws
ai
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- Posted
- Jan 31, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Bergen
- Company
- Tryg Norge
Industries
Insurance
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-28
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View Job Details
Related
Data Scientist
2026-05-26
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Related
DevOps Engineer
2026-05-26
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