Lead Data Scientist

We are looking for a Lead Data Scientist!

You will be joining a company which began as a research project almost 20 years ago, and is now an established enterprise head-quarted in Trondheim

Working across industries including construction and aquaculture, you will be dealing with sensor data from a range of sources, and developing ML methods and AI tools to ultimately make the industries more efficient

You will join a dedicated data science team with access to the latest tools & technology, you are encouraged to experiment and explore work outside of your role - a positive attitude towards learning is key!

Some example responsibilities include:

• Leading an internal team of data scientists, taking responsibility for the overall environment and their learning & development
• Bridge the gap between research and production
• Design and implement machine learning pipelines
• Collaborate with backend teams to integrate data science solutions into our cloud infrastructure
• Establish best practices within the team

We are looking for you to bring:

• At least 5+ years of relevant professional experience (e.g. Data Scientist, Machine Learning Engineer, Software Engineer with data/ML/AI experience)
• Proficiency in Python
• Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.) and deplying ML models to production environments
• Previous experience in a leading position, or taking ownership of data science projects
• Experience/understanding of time series data is beneficial
• Excellent communication skills and ability to translate technical concepts
• It is beneficial if you are familiar with cloud-native architectures and Kubernetes, as well as MLOps practices and tools

Why work with us?

• Modern tech stack and innovative projects
• Flat structure where voices are heard at all levels
• Hybrid working and flexible working hours
• A modern office in Trondheim with good public transportation access, and large open spaces for working and socialising
• Professional development opportunities with courses, conferences and internal knowledge sharing
• Encouragement to innovate and experiment with your work
• Supportive and collaborative work culture

For more information or any questions, feel free to contact Lucy on [email protected]