In the evolving landscape of data-driven industries, few companies offer as dynamic a playground for new graduates as Munich Re. Known globally as a leader in reinsurance, Munich Re is redefining how the world perceives risk, transforming uncertainty into opportunity. For aspiring data scientists, this is more than just a job – it’s a chance to apply your analytical skills to meaningful projects that influence lives and industries alike.
As the life insurance sector embraces innovation, the role of a Data Scientist has become increasingly pivotal. Munich Re’s North American Integrated Analytics (IA) team is on the lookout for its 2026 new graduate class, offering an exceptional entry point for talented individuals passionate about data, machine learning, and real-world problem-solving. This is your chance to contribute to groundbreaking projects that shape how insurance companies operate, manage risk, and enhance the well-being of their clients.
Toronto, a hub of technological innovation and financial expertise, serves as the launchpad for this exciting opportunity. With a flexible hybrid working model, you’ll gain exposure to both in-office collaboration and remote productivity, ensuring that your professional growth is supported while maintaining a healthy work-life balance.
About Munich Re
Munich Re stands as a global powerhouse in reinsurance, boasting more than 40,000 employees across 50+ locations worldwide. The company’s mission is ambitious yet straightforward: enable fundamental change by turning uncertainty into manageable risk. This ethos permeates every level of the organization, fostering a culture of diversity, inclusion, and innovation.
The North American branch continues to push boundaries in life insurance, leveraging decades of accumulated risk data alongside modern analytics techniques. The Integrated Analytics team, in particular, focuses on developing scalable solutions that facilitate better access to insurance and promote healthier lifestyles. By blending advanced machine learning, statistical modeling, and deep domain expertise, Munich Re is revolutionizing how insurance companies assess risk, design products, and serve clients.
Role Overview
Joining Munich Re as a Data Scientist in Toronto means stepping into a fast-growing, high-impact environment where your work drives tangible results. As part of the 2026 new graduate intake, you’ll contribute to projects that touch every facet of the life insurance ecosystem – from underwriting and pricing to claims management and operational efficiency.
Your role will involve building predictive models, implementing machine learning solutions, and exploring novel data sources to uncover actionable insights. Beyond technical execution, you’ll collaborate across teams and even with external clients, applying analytics to guide strategic decisions. The work is dynamic, combining cutting-edge research in areas such as NLP, disease modeling, and fairness in AI, with practical application in business processes that directly affect Munich Re’s bottom line.
The team culture emphasizes mentorship, transparency, and professional growth. With regular in-office collaboration, you’ll have ample opportunities to connect with colleagues, refine soft skills, and fully immerse yourself in Munich Re’s unique corporate culture.
Key Responsibilities
In this role, your contributions will be both varied and impactful. Core responsibilities include:
- Applying statistical and machine learning techniques to enhance underwriting, pricing, and claims models.
- Innovating new approaches to data management, distribution models, and operational processes.
- Building solutions that improve efficiency and quality in business workflows, helping generate revenue and reduce costs.
- Conducting proactive research to develop new modeling techniques that yield actionable insights.
- Collaborating with internal teams and external clients to translate analytics into business value.
- Networking with global data science groups, leveraging capabilities in big data and emerging technologies.
Eligibility & Education
Munich Re welcomes candidates graduating in 2026 or recent graduates within the past year. Ideal educational backgrounds include Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering disciplines such as Physics or Bioinformatics, or equivalent programs with experience in handling large datasets. While a graduate degree is preferred, a strong portfolio of analytical projects and technical expertise can set candidates apart.
Required Skills
To thrive in this role, you should demonstrate proficiency in predictive analytics, SQL, Python, or R, and hands-on experience with the full modeling lifecycle – from data gathering to communication of insights. Strong written and verbal communication skills are essential, as is a proactive, resourceful attitude and the ability to adapt in a dynamic environment. While experience in insurance or financial services is a plus, it is not mandatory.
Skills: predictive analytics, machine learning, SQL, Python, R, data modeling, data analysis, statistical techniques, NLP, collaboration, communication, problem-solving, research, adaptability
Application Process
Interested candidates can apply directly through Munich Re’s career portal. The application process typically includes submission of a resume and cover letter, followed by interviews assessing both technical skills and cultural fit. Early application is recommended to secure consideration for this highly sought-after new graduate program.
Apply Here Directly: https://munichre-jobs.com/en/MunichRe/job/130423-data-scientist-na-integrated-analytics-2026-new-grad-toronto
