Nordea Bank Abp logo
Est. Monthly
Estimated €5,000 - €6,550
Posted August 7, 2026 · 0 days agoLast seen August 7, 2026Deadline September 6, 2026

Data Scientist

Lead Data Scientist / Analytics Engineer
Helsinki, Finland
Hybrid (Helsinki office) · Data & Analytics
Full-time · Senior
English
No People Management
Bachelor
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("In Helsinki, Finland: Data Scientist"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€3,180–€9,000). The listed pay band (€417–€546) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 20 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,680/per month€6,108/per month€8,809/per month
In Helsinki, Finland: Data Scientist€3,180/per month€5,775/per month€9,000/per month
Pay in our data — not quoted in ad (Senior)€417/per month€481/per month€546/per month
About the role

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. Next steps Submit your application no later than 07/08/2026. For more information, you’re welcome to contact Mikael Simonsson at mikael.simonsson@nordea.com.

Job Details

Responsibilities

  • Collaborate with stakeholders to understand needs, capture requirements, and conduct workshops
  • Provide functional leadership in software engineering and ML/AI
  • Build analytics products to support strategic decisions and improve operational efficiency
  • Identify business opportunities using internal and external data
  • Apply statistical modelling, machine learning, and AI techniques
  • Develop and maintain the technical analytical platform for Data Science
  • Collaborate and support other team members

Requirements

  • Experience as a Data Scientist or similar in analytical and quantitative problem solving
  • Experience with advanced statistical techniques, machine learning, and AI
  • Business consulting mindset and proactive stakeholder management
  • Strong end-to-end software engineering skills
  • Deep knowledge of SQL and Python
  • Solid experience in Airflow, dbt, and Snowflake
  • Familiarity with Power BI or similar BI tools
  • Data/analytics engineering experience
  • Excellent communication skills in English
  • MSc/BSc/BA degree in computer science, statistics, mathematics, physics or related quantitative field

Skills & Technologies

SQLPythonAirflowdbtSnowflakePower BIMachine LearningArtificial IntelligenceStatistical Modelling

Education Level

Bachelor
Seen 2 hours agoContent Complete
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