Lead Data Scientist / Analytics Engineer
Summary
Lead a data-science team to build analytics products that surface customer insights and revenue opportunities for Nordea’s payments and trade unit, using Python, SQL, Snowflake, Airflow and dbt.
The banking industry is undergoing a period of dynamic change and Transaction Banking (TxB) – the Payments, Cards and Trade Solution area – is at the heart of the digital, instant and open revolution. We are looking for a Lead Data Scientist / Analytics Engineer with high stakeholder management skills to create actionable customer insights, identify new revenue opportunities, improve execution on strategies utilising data and further develop or analytical platform.
About our team
Welcome to the TxB Analytics team; the data science team that enables TxB and our customers to become more data driven. We add value by creating actionable customer insights to optimise existing business while at the same time exploring new revenue opportunities and improving efficiency. To be successful we need a tech savvy and analytical mind with great business understanding. We aim to be courageous and explorative in our approach which means you’ll have many opportunities to learn and grow as you build your career with us.
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.
Main responsibilities in this role:
- Work closely with our most important stakeholders, understand their needs, capture requirements and conduct workshops with them.
- Functional leadership of the area software engineering and ML/AI to strengthen the team in the area.
- Utilise data analytics to build analytics products so our stakeholders can make important strategic decisions, grow income, improve operational efficiency and develop Nordea’s product offering.
- Identify business opportunities (e.g. sales leads, merchant intelligence opportunities, etc) utilising internal and external data.
- Apply data science techniques such as statistical modelling, machine learning and Artificial Intelligence.
- Be responsible for the development of our technical analytical platform to make it fit for purpose for Data Science.
- Support and collaborate closely with other team members.
Who you are
Your background and skills include:
- You have experience working as a Data Scientist or similar where you have experiences with analytical and quantitative problem solving using advanced statistical techniques, machine learning methods and AI.
- You have a business consulting mindset and are proactive working with stakeholders to understand their needs and how analytics can help them.
- You have good end-to-end software engineering skills.
- You have deep knowledge in SQL and programming, e.g. Python.
- Solid experience in Airflow, dbt and Snowflake (or similar tools).
- You are familiar with Power BI (or similar business intelligence tools).
- You have data/analytics engineering experience.
- You are business minded, analytical and have excellent communication skills in English (both in text and spoken).
- You are a social, curious and a pragmatic team player.
- Experience in Requirements Management and workshop facilitation would an advantage.
- Experience in Transaction Banking or Payments/Cards would be an advantage.
- You have a MSc/BSc/BA degree in computer science, statistics, mathematics, physics or related quantitative degree.
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.