Lead Data Scientist / Analytics Engineer to TxB Analytics in Nordea

Lead Data Scientist / Analytics Engineer

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 strong stakeholder management skills to create actionable customer insights, identify new revenue opportunities, improve execution on strategies using data and further develop our analytical platform.

About the 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, optimising existing business while exploring new opportunities and improving efficiency. We are tech‑savvy and analytical with great business understanding, and we encourage learning and growth.

Main Responsibilities

• Work closely with stakeholders, capture requirements and conduct workshops.
• Provide functional leadership to the software engineering and ML/AI area to strengthen the team.
• Utilise data analytics to build products that allow strategic decision‑making, growth of income and improvement of operational efficiency.
• Identify business opportunities (e.g., sales leads, merchant intelligence) using internal and external data.
• Apply data‑science techniques such as statistical modelling, machine learning and AI.
• Be responsible for the development of the technical analytical platform for Data Science.
• Support and collaborate closely with other team members.

Qualifications

• Experience as a Data Scientist or similar, with advanced statistical techniques, machine learning and AI.
• Business consulting mindset, proactive stakeholder engagement.
• End‑to‑end software engineering skills.
• Deep knowledge in SQL and programming (Python).
• Solid experience in Airflow, dbt and Snowflake (or similar tools).
• Familiarity with Power BI or similar BI tools.
• Experience in data/analytics engineering.
• Excellent communication skills in English.
• Social, curious and pragmatic team player.
• Experience in Requirements Management and workshop facilitation an advantage.
• Experience in Transaction Banking or Payments/Cards an advantage.
• Academic degree (MSc/BSc/BA) in computer science, statistics, mathematics, physics or related quantitative field.

Benefits & Working Environment

Hybrid working model, diversity and inclusion focus, opportunities for growth, and a supportive, collaborative culture within one of the largest Nordic banks.

EEO & Union Information

Only for candidates in Sweden: For union information, please contact Finansförbundet at [email protected] or SACO at [email protected].

Only for candidates in Finland: A security clearance will be performed for the selected candidate.