Working Student Data Scientist (40-60%) 12 months

Are you passionate about applying data science, statistical modelling, and machine learning techniques to deliver actionable business insights?

Are you interested in learning how financial markets, geopolitical events and macro parameters impact Insurance Investment Management?

Would you like to support Zurich’s effort in turning data into meaningful insights that help Zurich navigate the uncertainty, predict and prepare for the future?

In this role, you will work with financial and accounting data to uncover patterns, find new data connections and accurately forecast financial parameters.

You will have the opportunity to work with our Investment Management, Finance and Macroeconomic teams gaining hands-on experience in data science applied to financial markets and seeing the impact of the models on real business scenarios.

What you will do - responsibilities

• Extract, clean and harmonize financial and accounting data.
• Build and validate forecasting models for financial parameters (income, cash flow, performance attribution).
• Prototype and compare ML and statistical models; apply AI-based forecasting methods.
• Conduct scenario analysis and stress testing to understand business impact and provide insights to management.
• Collaborate with Investment Management and Finance teams to expand the universe of data.
• Create clear visualizations and present actionable findings to non technical stakeholders

What you bring – qualifications and skills

• Currently enrolled in a Master’s program (Data Science, CS, Statistics, Finance, or related).
• You must be located in Switzerland for the whole duration of the contract
• Foundation in timeseries and probabilistic forecasting (ARIMA, ETS).
• Experience in Python (pandas, scikit-learn).
• Knowledge of ML methods valuable for financial forecasting.
• Solid analytical skills and ability to communicate technical results to business stakeholders.
• Fluent English.

Nice to Have

• Understanding of financial data and basic accounting principles.
• Familiarity with SQL for data extraction, ETL/data modelling ideally in Databricks.
• Experience with visualization tools (Power BI).

Additional Information

We look forward to receiving your online application. Please note that interviews for this position will begin in January.

At our Quai Zurich Campus , our culture and our people are what set us apart. We thrive on face-to-face interactions that drive collaboration, nurture our unique culture, and amplify our success.

Why Zurich

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!
Join us as we constantly explore new ways to protect our customers and the planet .

• Location(s): CH - Zürich
• Remote working: No
• Recruiter name: Magdalena Klimczyk