Student ML Engineer (NLP)

Are you excited about deploying and managing Machine Learning models? Do you have have an interest in automation, scalability and optimizing AI workflows on Cloud Infrastructure? If so, we want you to join our team as a Student ML Engineer.

We develop a wide range of models that identify customer needs and how we can aid them using financial services (our so-called Next Best Action engine). Using data from customer interaction (messages, chats and calls) we develop NLP solutions that help provide automatic replies and digital routing to create a better customer experience and lower costs from manual processes/handling. Furthermore, we have ongoing Generative AI (GenAI) projects and PoCs utilising LLMs and vector stores for Retrieval Augmented Generation Tasks for several purposes across the bank. Danske Bank is currently building a full-scale GenAI unit.

Ultimately you will be working towards developing and exposing AI and ML software to automate predictive models for recommendation, customer self-service (auto-reply) and GenAI.

Your Challenges

In close collaboration with Data Scientists, Data Engineers and ML Engineers you will be responsible for ensuring that models are deployed, scheduled, exposed, and monitored. You will evangelize clear directions for standards, best practices, and ways of working in the ML and Computer Science discipline.

As part of our migration to AWS you will also be involved in moving to our future Data Science platform to help accelerate the impact of Machine Leaning across Danske Bank. This will happen in close collaboration with peers in other teams across the organization.

As a Student ML Engineer you will:

A great match 

We imagine that you are in your last year of your bachelor or in the beginning of your master education in Computer Science, Data Science or other relevant STEM educations, as well as experience in a similar role. We also imagine that you possess great problem-solving skills, paired with a desire to learn and grow, as the data science landscape changes. 

About you

Would you like to advance in some of these technologies?

*Prior experience is a huge plus but not a must.

About the Department

We are a diverse team of Data Scientists, Data Engineers and ML Engineers with colleagues in both Scandinavia, India and Lithuania. We have a very research-oriented culture and aim at staying up to date through various research projects with university partnerships across the greater Copenhagen area.

As part of the Commercial Data Science Center of Excellence you will be working in our office in Copenhagen and sit in central part of Danske Banks commercial organisation. We support all 4 Nordic countries (Denmark Sweden, Norway and Finland) with bleeding edge Machine Learning solutions.

We work closely with the development organization to deliver and integrate Machine Learning solutions in our product offering such as the Mobile Bank, eBank, website and frontline advisors.

We aim at creating a good social atmosphere by arranging events such as hackathons, board game nights, team days etc.

Is this the job for you? 

The position is typically 15-20 hours per week. We value a mutually flexible approach to working time - both during our busy periods and during your exam periods. We have a working from home setup where most colleagues work from home a few days a week. 
If this sounds great to you, then do not hesitate to apply or reach out! We conduct interviews on an ongoing basis and hire when we find the right candidates. 

 Please feel free to contact if you have any questions:

We look forward to receive your application till 24th of June.