Junior Data Scientist working with data to generate insights and predictive models for business improvements. Collaborating in a dynamic team environment at Zurich.
Responsibilities
Understand business problems and structure analytical approaches to solve them
Generate proofs of concept from data that help deliver improved business results
Prepare and pre-process datasets needed to deliver analytical solutions
Generate distinctive risk insights that deliver improved business results
Build and implement predictive models and other analytical solutions using both structured and unstructured data
Collaborate with Data Engineers to deploy models into production environments and monitor models performance
Support communication of findings, implications, and performance of the models to business stakeholders
Requirements
University education (Bachelor’s degree or higher)
Ideal for fresh graduates or students finishing their degree
Working knowledge of Python and basic data science packages
Passion working with data and developing insights for use in business decisions
Strong problem-solving skills and analytical thinking
Strong verbal and written communication skills, especially the ability to translate technical results for business audiences
English – B2 or better
Experience with Azure and Databricks is an advantage
Experience with basic NLP concepts and large language models is an advantage
Experience with SQL and other programming languages is an advantage.
Benefits
Working time benefits
Personal days off
Concentrated work week
Additional vacation
Home office
Extra days off at occasion of childbirth
Sabbatical leave
Life insurance from Zurich Austria
Compensation for salary loss during sick leave
3rd pension pillar contribution
Risk Life Insurance
Meal contribution on top of the legally required minimum
Senior Director driving product development in data science for TransUnion. Leading initiatives in AI and analytics for the Specialized Risk portfolio.
Data & Analytics Lead at AstraZeneca driving data - driven solutions in clinical product development. Leading teams and collaborating with stakeholders across global platforms.
Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.