Senior Data Scientist

Nordea is a leading Nordic universal bank. We are helping our customers realise their dreams and aspirations - and we have done that for 200 years. We want to make a real difference for our customers and the communities where we operate - by being a strong and personal financial partner.

Job ID: 27380
Are you ready to help shape the future of AI & Generative 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 Data Management focusing on delivering and enabling generative AI use cases across the organisation. The unit provides reusable 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 a Senior Data Scientist who is interested in working in the field of Generative AI with use-cases across the bank. You will work closely with data scientists, ML engineers, and business stakeholders to take AI and Generative AI applications from concept to production, ensuring they are developed in an ethical, safe, and sustainable way.
About this opportunity
Welcome to the Applied Data Science team. Your passion for working with people from both a technical and a business background, coupled with your curiosity for AI and new innovations like Generative AI, makes you well-suited for this position. As Nordea pioneers its way into an 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:
* Design and build scalable, reliable AI solutions, using existing assets or creating something new from scratch
* Ensure our Generative AI applications are developed from idea to production, meeting all necessary requirements for smooth and successful deployment
* Design and build internal and reusable AI Assets and Services to leverage in multiple use case development projects, accelerating its time to market
* Integrate our systems with external tools, like vector databases, LLMs, and AI services. Your work will make sure everything plays nicely together!
* Stay on top of cutting-edge technologies by exploring and recommending the latest and greatest AI 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.
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 people to take action

Your experience and background:
* BSc, MSc or PhD in Computer Science, Computer Engineering, Engineering Physics, relevant technical 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
* Experience in Generative AI (Large Language Models, Embeddings Models, building RAG and agentic solutions)
* Experience working with public cloud providers (AWS, Azure or GCP), especially their serverless, generative AI (e.g., AWS Bedrock), 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!
Next steps
We kindly ask you to submit your application as soon as possible, but no later than 31/12/2024. We will ongoingly be reviewing applications and conducting interviews as we receive them, and might close the recruitment process before the posting end date. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered.
If you have any questions about the role or this recruitment process, please reach out to our tech recruiter and main point of contact Anna Dahlström, anna.dahlstrom@consult.nordea.com.
For union information, please contact Finansförbundet at finansforbundet@nordea.com or SACO at SacoNordea@nordea.com.