At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.

THE OPPORTUNITY

Join EY’s fast-growing AI & Data team and help us build a better working world with data. We’re looking for a Senior Data Scientist who can solve complex problems with data, create scalable machine learning solutions, and guide clients through their digital transformation journeys. If you’re passionate about Python, thrive in Azure environments, and want to work at the forefront of AI innovation - this is your opportunity.

SKILLS AND ATTRIBUTES FOR SUCCESS

• Strong proficiency in Python for data analysis, machine learning, and scripting.
• Proven experience working with Microsoft Azure services (e.g., Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Synapse).
• Solid understanding of ML concepts, statistics, and model evaluation techniques.
• Experience with data wrangling, feature engineering, and large-scale data processing.
• Familiarity with DevOps/MLOps in cloud environments is a strong plus.
• Ability to communicate complex ideas clearly and effectively.
• A degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in data science or advanced analytics roles.
• Hands-on project experience deploying models in production environments using Azure.
• Business acumen and experience working with clients or in consulting settings.
• Proficiency in Danish

WHAT WE LOOK FOR

We are seeking a dynamic and innovative individual who is passionate about continuous learning and professional growth. Flexibility and the ability to collaborate effectively in a global team are essential. We value integrity and expect our team members to uphold the highest ethical standards. Additionally, we are looking for someone who is driven to make a meaningful impact through their work.

• Design, develop, and deploy machine learning models and data-driven solutions in Azure.
• Lead end-to-end data science projects, from problem framing to model implementation and monitoring.
• Collaborate with cross-functional teams including data engineers, cloud architects, and domain experts.
• Translate business problems into analytical frameworks and actionable insights.
• Present findings and recommendations to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to EY’s internal knowledge base and best practices.