Data Scientist
Helsinki, FI, 500
Nordea
Nordea is a leading Nordic universal bank – we are a strong and personal financial partner with financial solutions that best meet your needs so you can achieve your goals and realise your dreams.Job ID: 28559
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 Data Management 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 a Data Scientist who is interested in working in the field of ML/AI with use-cases across the bank in marketing domain. 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 our Data Scientist, you will help to resolve data-intensive decisioning problems through application of data processing and modelling and contribute to driving intelligent automation through algorithmic and 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
- Make proper assessment and validation of model performance as per model risk validation framework and guidelines. 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 Helsinki, or Stockholm. Please be informed that this is not a remote position, Nordea applies a hybrid working model.
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
- 2+ 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 power BI 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
To be considered for this role, please be aware that you must have a valid Swedish or Finnish permanent work permit, or a European citizenship.
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 25/02/2025. 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.
Any questions regarding the role or the team, please reach out to our hiring people leader Alok Kumar, alok.kumar@nordea.com. 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.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities.
Only for candidates in Sweden: For union information, please contact finansforbundet@nordea.se or SACONordea@nordea.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Bitbucket CI/CD Computer Science Data management DevOps Docker Engineering GCP Generative AI Machine Learning MLOps Model deployment PhD Physics Pipelines Power BI PySpark Python SageMaker SQL Testing
Perks/benefits: Career development
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