Data Scientist

Interested in using data, analytics and AI to solve real business problems? We are looking for a Data Scientist to join Markets Business Technology AI Acceleration & Enablement, working closely with Sales teams to develop and scale solutions that improve efficiency, decision-making and client coverage. About our team Welcome to Markets Business Technology AI Acceleration, where we help Sales teams turn opportunities into practical, adopted solutions. Our mission is to connect data, simplify processes, and deliver AI-enabled solutions that support better decision-making and commercial outcomes. We work at the intersection of Sales, Trading, Data, and Technology, partnering closely with the business to deliver solutions that create measurable value. You will join a collaborative team that values initiative, curiosity, and a practical approach to turn ideas into solutions that make a difference. Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us. What you’ll be doing: As the Data Scientist, you will work as part of a cross-functional team delivering data, automation, and AI solutions that support Markets Business teams. Main responsibilities in this role: Delivering solutions that create business impact - Partner with Markets Business teams, analysts, and developers to identify opportunities and define impactful AI and automation development initiatives - Translate business challenges into production-ready solutions that improve efficiency and decision-making, working hands-on across the full lifecycle from exploration to delivery Building data and analytics capabilities - Work with complex datasets and develop machine learning and AI pipelines spanning clustering, classification, regression, forecasting, and other advanced analytical use cases - Design, develop, and maintain production-ready data workflows and model pipelines in Python and SQL, with a focus on reliability, scalability, and maintainability - Contribute to a scalable data foundation by ensuring high data quality, integrity, and reusability across analytical, AI, and operational use cases Improving and scaling adoption - Apply and help strengthen best practices within MLOps, AI engineering, and software development; including version control, testing, containerised workflows, and deployment - Monitor outcomes, gather feedback, and drive continuous improvement to ensure adoption and optimisation Who you are This is the right role for you if: - Enjoy turning business challenges into practical solutions - Take ownership and turn ideas into outcomes - Have a pragmatic, solution-oriented mindset focused on delivering value - Work effectively across business and technology teams - Combine strong analytical thinking with a bias for action - Balance attention to detail with the ability to keep sight of the bigger picture Your background and skills include: - A Master’s degree in Machine Learning, Software Engineering, Computer Science, Physics, Mathematics, Economics, Statistics, or a related field - Experience analysing large datasets and applying statistical, machine learning, and AI techniques to solve business problems - Experience using data, machine learning, and AI to solve business problems, improve processes, and deliver tangible outcomes - Strong programming skills in Python and experience working with SQL - Familiarity with machine learning, generative AI and LLM-based applications, and the ability to match the right tool to the problem; from low-code platforms (e.g. Copilot Studio) to custom-built solutions - Hands-on experience with modern development practices and tools such as Git, Docker, and APIs What we offer - A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment. - Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility. - Diversity and inclusion are a natural part of our daily work.