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Salary
≈ $35k – $95k per year (Estimated)
Location
In office (Madrid)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Munich Re is a German reinsurance and insurance group headquartered in Munich, providing reinsurance, primary insurance and insurance-related risk solutions to clients worldwide. Founded in 1880 and listed in the DAX, it is the largest reinsurer in the world, and its group includes the primary insurer ERGO, the asset manager MEAG, Hartford Steam Boiler, Munich Re Specialty and Munich Reinsurance America. Recent openings span treaty and liability underwriters, technical accountants, financial risk analysts, credit controllers, software engineers and interns, as well as insurance sales apprentices and agents for ERGO in Germany.

About us

At Munich Re Specialty - Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinned by an effective and adaptable strategy, superior products and industry leaders working in a supportive environment to achieve this.

At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.

Please see our website for more information.

Data Scientist - Pricing

We are currently looking for a Data Scientist - Pricing to be based in Madrid on a full-time basis, reporting into the European HUB Pricing Manager.

You will be responsible for supporting the Pricing function’s evolution into a data-driven function within the Global Markets Pricing team in Madrid, applying data science and database techniques to pricing data and driving process automation to improve forecasting, decision-making, reporting and operational efficiency.

You will help collect, organise and analyse pricing and underwriting data from various sources, build well-structured databases, and develop predictive and analytical models and dashboards that clearly communicate insights to stakeholders.

You will collaborate closely with the underwriting team supporting the Chief of Underwriting, the Country Heads and the London and Munich Actuarial teams.

Responsibilities

  • Develop Power BI dashboards and reports that clearly communicate insights to stakeholders.
  • Collect, organise and analyse pricing and underwriting data from various sources across the Pricing team to derive insights that inform business decisions.
  • Build predictive and analytical models to identify key pricing and rating risk factors, improving forecasting and decision-making accuracy.
  • Design, build and maintain well-structured databases to support scalable pricing tools.
  • Support the build and maintenance of rating engine structures and underlying databases in HX Renew and other pricing platforms.
  • Collaborate closely with the Pricing team to identify areas where data-driven insights and automation can improve their operations.
  • Work with the IT team to ensure that pricing data is stored and analysed securely, with sound database design and management.
  • Maintain clear documentation of data sources, processes and models to support audit, governance and knowledge-sharing.
  • Help drive forward good Conduct for the business to deliver the best outcomes for customers / policyholders.

Knowledge and Skills

  • At least 3 years of experience in a data science, data analytics or database-focused role, preferably within the insurance industry.
  • Strong knowledge of databases and SQL, with practical experience designing, building and querying relational databases.
  • Working knowledge of Power BI; experience with Databricks or similar big data platforms is a plus.
  • Experience building predictive and analytical models to support business decision-making.
  • Solid understanding of, or strong interest in, pricing/actuarial processes and data.
  • Strong business acumen and communication skills, with the ability to translate complex data and analysis into clear, actionable insights for both technical and business stakeholders.
  • Experience with HX Renew or similar pricing platforms, and exposure to data governance or data quality practices, is a plus.
  • Fluency in English is a must, other European languages are also an advantage.

If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!

Diversity, Equity & Inclusion

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.

Learning and innovating today, striving for sustainable societies and business tomorrow

At Munich Re Specialty - Global Markets our approach to ESG is underpinned by our desire to seize business opportunities and to nurture a stimulating and inclusive work environment. Our ESG strategy aims to deliver holistic impacts across environmental, social and governance topics including supporting a number of local initiatives within our community and offering volunteering opportunities for colleagues.

Learn more about sustainability at Munich Re - choose your impact!

#BePresent#BeBold #BeCurious

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