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Data Scientist for Savings Performance Team

Swedbank AB

Stockholms län, Stockholm

Previous experience is desired

60 days left
to apply for the job

Do you have a passion for transforming data into insights that drive real business decisions? Do you want to work closely with the business and contribute to developing our savings products and customer experiences through data-driven analysis?

We are now looking for a Data Scientist to join our Savings Performance team within the Investment Center. Here, you will play a central role in analyzing and developing the Savings business by combining data modeling, analysis, and clear communication of insights.

At Swedbank, you will have the opportunity to:
  • Work end-to-end with data – from needs identification and data collection to modeling, analysis, and visualization.
  • Analyze and monitor the Savings business from a product, customer, and organizational perspective.
  • Identify patterns in data and translate them into concrete, business-relevant recommendations.
  • Create decision support materials and present insights to management and other senior stakeholders.
  • Contribute to and further develop data models that enable better monitoring and control of the business.
  • Develop and enhance dashboards and applications in Power BI and Qlik that support analysis and decision-making.
  • Collaborate cross-functionally with various teams to drive data-driven initiatives.
In this role, you will need:

Basic requirements:

  • 2–4 years of experience working as a Data Scientist, analyst, or similar role, with a focus on deriving insights from data.
  • Strong experience with SQL and working with large datasets.
  • Experience with Python or similar tools for data analysis.
  • Experience with data modeling and visualization in BI tools (e.g., Power BI or Qlik).
  • Experience working with the entire analysis process – from data to insight and presentation.
  • Good ability to communicate complex relationships in a clear and pedagogical manner.
  • Fluency in Swedish and English, both spoken and written.
  • Resident in Sweden, with placement in Stockholm and surrounding areas.
  • Relevant academic education (e.g., statistics, economics, computer science, or mathematics).

Preferred qualifications:

  • Experience working in banking or financial services.
  • Knowledge of savings, pensions, or insurance.
  • Ability to share knowledge and contribute to the team's competence development.
  • Experience working closely with the business and translating analysis into concrete recommendations.
At Swedbank, you can experience:
  • Personal and professional development through self-leadership and continuous growth.
  • Meaningful work that positively impacts our workplace, our customers, and society.
  • An open and collaborative culture that encourages cross-functional teamwork and offers networking opportunities.
  • A supportive and inclusive environment that promotes a balanced and sustainable work-life situation, with flexible working conditions when appropriate for the role.
  • Benefits such as our employee banking product offer, occupational pension plan, equity-based reward program Eken, and wellness allowance.
"Join our team and...

Take the chance to become part of our dynamic and ambitious analytics team. Together, we help Swedbank become more data-driven and strengthen our position in the Savings area." Elias Jakobson, your future manager.

We look forward to receiving your application by 2026-08-31.

Location: Sundbyberg

Hiring Manager: Elias Jakobson

Please note that the recruitment process may take slightly longer than usual due to the summer holiday season.

Please be aware that background checks and drug testing may be conducted for this role if you proceed in the process.

We have made our media selection for recruitment and therefore decline contact with advertising salespeople or sellers of other recruitment services.

Swedbank is an inclusive employer and does not discriminate based on gender, age, sexual orientation or sexual identity, ethnicity, religion, or disability - everyone is welcome.

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