Job Description
Are you a student interested in data and ready to apply your skills to real-world challenges? At Danske Bank, we’re looking for a Student Assistant in Data Science to join our Customer Intelligence team — where we use data and machine learning to better understand and serve our customers.
You’ll support projects that shape how we personalize experiences, predict customer needs, and drive smarter marketing and service decisions.
💼 What You’ll Do
As part of a skilled and supportive team, you’ll assist with a range of tasks that support the development and deployment of machine learning models for retail banking use cases:
Apply now or reach out to Rasmus Gansted Brink – [email protected] for more information. Let’s build the future of AI together!
First interviews will start up end of June, so don’t hold back!
#st
About Us
Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.
Are you a student interested in data and ready to apply your skills to real-world challenges? At Danske Bank, we’re looking for a Student Assistant in Data Science to join our Customer Intelligence team — where we use data and machine learning to better understand and serve our customers.
You’ll support projects that shape how we personalize experiences, predict customer needs, and drive smarter marketing and service decisions.
💼 What You’ll Do
As part of a skilled and supportive team, you’ll assist with a range of tasks that support the development and deployment of machine learning models for retail banking use cases:
- Help prepare and explore customer data (transactional, behavioral, demographic)
- Support ongoing work on churn prediction, propensity modelling, segmentation, and CLV estimation
- Run exploratory analyses and assist with feature engineering and data validation
- Contribute to internal documentation, data quality checks, and model evaluation
- Learn about model governance, responsible AI, and data-driven decision-making in banking
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Work closely with experienced data scientists in an environment focused on learning and collaboration
- You’re currently enrolled in a relevant degree (e.g., Data Science, Machine Learning, Statistics, Computer Science, Economics with a quantitative focus)
- You have a strong interest in machine learning, customer behavior, and applied data analytics
- You’re comfortable with Python and familiar with tools like pandas, NumPy, or scikit-learn
- You’re proactive, analytical, and curious — with a willingness to learn and contribute
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You can commit to working 15–20 hours per week alongside your studies
- Experience working with real-world datasets in a project or internship
- Familiarity with SQL, cloud platforms (e.g., Azure), or MLOps tools
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Interest in retail banking, financial services, or digital marketing analytics
- A hands-on opportunity to work with real customer data in a leading bank
- A friendly and collaborative team culture that values learning and development
- Flexible working hours tailored to your academic schedule
- The chance to see how AI and data science are used in a highly regulated, customer-focused industry
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Working in our new HQ with great facilities
Apply now or reach out to Rasmus Gansted Brink – [email protected] for more information. Let’s build the future of AI together!
First interviews will start up end of June, so don’t hold back!
#st
About Us
Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.
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