Job Description

About the Role:

As a Data Scientist within our Data Analytics CoE, you'll be at the intersection of data science,risk consulting, and business strategy. You'll collaborate with cross-functional teams to deliverdata-driven solutions that enhance our risk consulting offerings and create value for our clients.

Key Responsibilities:

• Deliver powerful insights for risk consulting engagements by leveraging advanced dataanalytics, machine learning, and statistical modeling techniques
• Perform extensive exploratory data analysis on structured and unstructured data frommultiple sources to identify trends and relationships that enrich our offerings
• Develop and maintain predictive models for refinement and extension of Swiss ReSolutions Risk Consulting & Analytics tools and offerings
• Design interactive dashboards and visualizations that effectively communicate complexdata-driven insights to non-technical stakeholders
• Collaborate with cross-functional teams including risk consultants, project managers, andbusiness management to align analytics efforts with business goals
• Identify process improvement opportunities and implement automation solutions toenhance efficiency

About the Team:

The Data Analytics Center of Excellence (CoE) team sits within the Risk Consulting and Analyticssub-division under the Risk Data Solutions division. Our team specializes in transformingcomplex data into actionable insights that drive strategic decision-making across risk consultingengagements. We combine advanced analytics, machine learning, and industry expertise todevelop innovative solutions that address our clients' most challenging risk managementproblems.

About You:

You're a curious problem-solver who thrives in a collaborative environment. You have a passionfor translating complex data into clear insights and enjoy working at the intersection oftechnology and business. Your analytical mindset is balanced with strong communication skillsthat allow you to convey technical concepts to diverse audiences effectively.

We are looking for candidates who meet these requirements:

• Bachelor's or Master's degree in a quantitative field with 5+ years of experience in datascience
• Proficiency in SQL, Python, and Spark for data processing and transformation
• Strong command of machine learning algorithms and classification/regression techniques
• Experience with visualization tools, particularly Power BI for building interactive dashboards
• Ability to produce high-quality, secure, and maintainable code in an agile environment (GIT,etc.)

These are additional nice to haves:

• Experience in the general insurance sector, especially Casualty, Commercial, or SpecialtyInsurance lines of business
• Experience handling unstructured data, performing entity resolution, and fuzzy mapping
• Prior experience with MS Azure platform and services (Data bricks, ADF, and Power BI)
• Experience working in consulting projects with direct client interaction
• Strong stakeholder management skills and ability to work in interdisciplinary environments
• Self-starter mentality with excellent organizational skills and ability to meet deadlines

Our company has a hybrid work model where the expectation is that you will be in the office atleast three days per week

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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