Join Our Team as a Student Data Scientist (NLP) at Danske Bank

Are you passionate about leveraging Machine Learning to solve complex business challenges? Danske Bank is looking for an innovative Student Data Scientist to help propel our Commercial Data Science initiatives. If you're eager to work with cutting-edge AI technologies and transform data into actionable insights, we encourage you to apply for this thrilling opportunity.

Explore the Role

As a Student Data Scientist at Danske Bank, you will collaborate with a skilled team of Data Scientists, ML Engineers, and Data Engineers. Your role will focus on transforming intricate business issues into models and solutions, enhancing our customer services through advanced AI-driven strategies.

You will build and monitor AI models, utilize leading frameworks like HuggingFace, and present your findings clearly to stakeholders to facilitate informed decision-making. Additionally, you will engage in Generative AI projects, contributing to the development and application of our next-generation AI capabilities.

Key Responsibilities

• Develop and deploy Machine Learning models, both online and batch, with outputs integrated via API endpoints.
• Influence the scope and implementation of Generative AI use cases to maximize potential across banking operations.
• Educate and mentor team members in leveraging the full capabilities of Data Science and Machine Learning technologies.
• Initiate enhancements to existing ML libraries and frameworks to stay ahead in the fast-evolving tech landscape.
• Interact and build strong relationships with peers and business experts to tailor AI solutions that address unique challenges.

About You

Ideal candidates are in the final year of a Bachelor's degree or early in a Master's degree in Computer Science, Data Science, or related STEM fields. You should exhibit strong problem-solving skills, be highly self-motivated, and have a keen interest in continuous learning.

Technical Proficiencies:

• Fine-tuning pretrained transformer models, familiar with frameworks like Huggingface
• Proficiency in Python, Spark/PySpark, SQL, and public cloud environments, preferably AWS
• Experience with Machine Learning operations tools such as MLFlow, Terraform, and container technologies like Docker or Kubernetes

About Our Team

The Commercial Data Science team at Danske Bank is a diverse and research-oriented group based in Copenhagen. We collaborate on various projects, including partnerships with universities, to stay at the forefront of data science innovation. Our team supports all four Nordic countries with advanced ML solutions that enhance our digital and mobile banking platforms.

Why Danske Bank?

With a 150-year history of innovation and service, Danske Bank offers a vibrant workplace that promotes an inclusive culture where you can grow professionally. By joining us, you'll engage in meaningful work that directly impacts our customers and communities while working in a flexible and supportive environment.

Application Details

This part-time position requires 15-20 hours per week, with flexible scheduling to accommodate exam periods and peak business times. Remote work options are available. We are actively interviewing and looking to fill this position quickly.

Interested applicants are encouraged to apply by 24th of June. For questions, contact Rasmus Brink, Head of Advanced Commercial Analytics, at or on LinkedIn, and Ledian Selimaj, NLP Lead Data Scientist, at .

We look forward to your application and the possibility of you joining our dynamic team!