Data scientist

As a Data Scientist, your main tasks will involve:

• Understand business problems and structure analytical approaches to solve them.
• Generate proof of concepts 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, ML/AI Ops, and IT teams to deploy models into production environments and monitor models performance.
• Support communication of findings, implications, and performance of the models to business stakeholders.

• 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 and analytical skills from the following:
• Advanced knowledge of statistical and predictive modeling techniques such as machine learning models (GBM, Random Forest etc.), decision trees, probability networks, association rules, clustering, regression, GLMs, SVMs, HMMs, time series, survival analysis, neural networks and their application to business decisions.
• Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images).
• Advanced knowledge of fine-tuning (e.g. PEFT, LoRA, RLHF) and customizing large language models (e.g. GPT, BERT, Flan-T5, Llama, Dolly, BART), embedding approaches (e.g. Word2Vec, t-SNE), prompt engineering, and vectorization.
• 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 SQL and other programming languages is an advantage.
• Prior work experience in insurance is a plus

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises. So be challenged. Be inspired. Help us make a difference. At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.