Data Scientist (AI-Enabled)

Data Scientist (AI-Enabled)

Nordhavn, Copenhagen, Denmark

At Svitzer, we are strengthening our data and analytics capabilities to deliver scalable, data-driven products and insights. We are looking for an experienced Data Scientist who actively leverages AI tools (e.g. Codex) to accelerate experimentation, improve model quality, and explore new ways of solving complex business problems.

You will join a high-impact technology team with end-to-end ownership of data-driven products and insights. This role is ideal for someone who enjoys translating data into actionable insights and building models while working with modern AI-enabled tools and practices.

About Svitzer

Svitzer is a leading global towage operator with 4,000+ colleagues and a fleet of 446 tugboats across 35+ countries, organised into four regions: Australia, AMEA, Europe, and Americas (South America). We provide sustainable marine services that make ports and terminals safer, more efficient, and more climate friendly. Our strategic priorities are reflected in our innovation efforts, such as the Svitzer Transverse Tug: https://www.youtube.com/watch?v=IPdhKsJu3fk (1 min 55 sec video).

More about the role

You will take ownership of business data-driven use cases built on our cloud-based data platform (Azure Databricks and Microsoft Fabric), driving the development of models, insights, and decision support solutions.

The role is centered around the full data science lifecycle - from exploring and understanding data to building, validating, and operationalizing models that create business impact. Alongside this, you will contribute to engineering tasks such as building reliable data pipelines and ensuring solutions are scalable and production-ready, with a natural curiosity for working with large-scale data.

You will work closely with our data platform and engineering teams, combining strong analytical capabilities with a pragmatic approach to implementation.

We expect you to actively use AI tools end-to-end in your daily work - from exploration and experimentation to development, deployment, and optimization - and to continuously explore how AI can enhance both the quality and impact of your work.

Key Responsibilities

• Own and drive data science use cases - from problem framing to delivering models and actionable insights.
• Explore and analyze data to identify patterns, opportunities, and areas for business impact.
• Develop, validate, and operationalize machine learning models and advanced analytics solutions.
• Collaborate with stakeholders to translate business needs into data-driven solutions and decision support.
• Contribute to building and maintaining data pipelines and datasets required for analysis and model development (Python, PySpark).
• Ensure solutions are production-ready, scalable, and reliable in collaboration with data engineering teams.
• Work with modern development practices, including Azure DevOps CI/CD and version control, to deploy and maintain models.
• Leverage AI and GenAI Actively use AI-assisted tools (e.g. Codex) across the full lifecycle—from exploration and experimentation to development, testing, and optimization.
• Identify opportunities to apply AI and advanced analytics to improve business processes and products.
• Contribute to evolving best practices across data science, analytics, and engineering, in collaboration with your team.

Who we are looking for

We do not expect you to be an expert in all areas listed below. Some requirements are essential, while others describe the broader scope of the role. If you have a strong data science foundation, enjoy working hands‑on with data and models, and actively use AI in your daily work, we would be happy to hear from you - even if not every item applies.

Must-have

• Valid visa- and work permit for Denmark (unfortunately, we are unable to provide sponsorship for this role).

• Strong experience with cloud-based data platforms (preferably Azure).
• Solid programming skills in Python.
• Hands-on experience with data processing frameworks (e.g. PySpark).
• Experience developing and deploying machine learning models and/or advanced analytics solutions (e.g. Databricks, Azure Foundry).
• Strong analytical mindset with experience in data exploration, statistical analysis, and problem-solving.
• Experience working with deployments, including version control and Azure DevOps CI/CD practices.
• Ability to work with and contribute to data pipelines and data preparation for analytical use cases.
• Hands-on experience using AI-assisted tools (e.g. OpenAI, Claude, Codex or similar) as an integral part of daily work.
• Demonstrated ability and motivation to leverage AI end-to-end—from exploration and experimentation to model development, debugging, and optimization.
• Ability to work independently and take end-to-end ownership.
• Experience with Databricks and Spark-based environments.

Nice-to-have

• Experience working with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
• Familiarity with deploying and monitoring models in production.
• Experience with feature engineering and working with large-scale datasets.
• Understanding of MLOps practices and model lifecycle management
• Experience with infrastructure-as-code (e.g. Bicep) or cloud-native development is a plus.
• Familiarity with monitoring, logging, and alerting setups.
• Experience with streaming or real-time data is a major plus.
• Understanding of cloud cost optimization.

Who You Are

• Strong analytical mindset with a passion for solving complex problems using data.
• Experienced in developing models and turning data into actionable insights.
• Comfortable working end-to-end - from ideation and data exploration to feature engineering, model deployment, and monitoring.
• Pragmatic and focused on delivering business value through data-driven solutions..
• Actively explores and uses AI to enhance productivity, experimentation, and problem-solving
• Curious and motivated to explore new techniques within machine learning and advanced analytics.
• Able to collaborate across teams and disciplines, working closely with engineering and diverse business stakeholders.
• Motivated by ownership, autonomy, and continuous improvement.

How to apply

To ensure a consistent and fair recruitment process, applications must be submitted via the “Apply” button, which will direct you to our Svitzer Careers page. Applications submitted outside the system cannot be considered. Please upload your CV and a brief cover letter outlining your motivation for applying.

Deadline

4th of May 2026. Please note that we will review applications on an ongoing basis.

Questions

For questions related to the role, please contact Jonas Aagaard Quist, Head of Data Platform and Cloud Services by email: jonas.aagaard.quist@svitzer.com

Building a Diverse Workplace

In Svitzer we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to gender, age, nationality, race, sexual orientation, disability, or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.

Don’t meet every single requirement? Studies have shown that members from some under-represented groups are less likely to apply for jobs if they don’t meet every single qualification. At Svitzer we are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles, and we are excited about hearing from you!

How to Apply

To apply for this role, please click on the 'Apply Now' button and create a Candidate Home to manage your applications.