Job ID: 27380

Are you ready to help shape the future of ML & AI at Scandinavia’s largest bank, working alongside a dynamic, fast-paced team? The Group AI Center of Excellence is an established unit within Group Technology focusing on delivering and enabling ML/AI use cases across the organization. The unit provides reusable ML/AI Assets that are developed in conjunction with business stakeholders to be leveraged by a wide variety of use cases.

We are now looking for an Expert Data Scientist who is interested in working in the field of ML/AI with use-cases across the bank. You will work closely with data scientists, ML engineers, and business stakeholders to take AI applications from concept to production, ensuring they are developed in an ethical, safe, and sustainable way.

About this opportunity

Welcome to the Data science & Decisioning team. Your passion for working with people from both a technical and a business background, coupled with your curiosity for ML & AI and new innovations like Generative AI, makes you well-suited for this position. As Nordea pioneers its way into an ML/AI and Gen AI driven future, you will thrive by embracing a dynamic environment, fostering collaboration, and maintaining an open and adaptable mindset.

What you will be doing:

As a data scientist, you will help to resolve data-intensive decisioning problems through application of data processing & modelling and contribute to driving intelligent automation through algorithmic & model-based solutions:
- Design and build scalable, reliable ML/AI solutions, using existing assets & framework or creating something new from scratch
- Collaborate and engage in discussions with stakeholders and colleagues related to requirements, data and methods for data manipulation to resolve broad spectrum of business problems
- Ensure our ML/AI applications are developed from idea to production, meeting all necessary requirements for smooth and successful deployment
- Engage and incorporate feedbacks by following the internal guidelines coming from model risk validation framework, legal or privacy teams. Engage in optimizing the code for further steps towards model deployment
- Stay on top of cutting-edge technologies by exploring and recommending the latest and greatest AI methods, tools and services. Your insights will keep us ahead of the curve!

Our AI team culture is built on collaboration, continuous learning and innovation. We foster an open environment where diverse ideas thrive, encouraging everyone to push the boundaries of technology while supporting each other's growth. With a strong focus on well-being, we prioritize work-life balance and encourage open communication.

At Nordea, inclusion and diversity are at the heart of our values. We believe that a diverse workforce drives innovation, fosters creativity and creates a more supportive workplace for all. The role is based in Høje Taastrup, Helsinki, or Stockholm.

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

To succeed in this role, we believe that you:

Embrace a growth mindset, where you enjoy taking initiative and bringing solutions
Enjoy problem solving, and tackling challenges
Are an awesome team member and you have a strong ability to inspire and collaborate with people to take action

Your experience and background:

BSc, MSc or PhD in Computer Science, Computer Engineering, Engineering Physics, relevant data science field
10+ years of experience in testing, maintaining, launching AI/ML products, working with MLOps best practices and DevOps environment (CI/CD pipelines, Docker, container orchestration)
Experience in training, evaluation, fine-tuning and deployment of predictive models; including feature selection, hyper-parameter tuning, error analysis and data visualisation
You’re a coding wizard in one or more data science programming language i.e. Python, Pyspark, SQL etc., and you know your ways around tools like IBM Watson (CP4D), BitBucket, Hive, Unix Systems, visualization tool such as PowerBI etc.
Experience working with public cloud providers (AWS, Azure or GCP), especially their serverless, ML (e.g., AWS SageMaker), or data storage services as well as Infrastructure as Code (IaC)
Skilled at transforming complex ideas into clear, engaging explanations—whether you're presenting to a technical team or breaking things down for non-experts

If this sounds like you, get in touch!