Senior Data Scientist — Zurich Insurance (sede Ticino)
NewCHF 79'500 - 135'000
Zurich Insurance (sede Ticino) · Lugano (TI)
- Location
- Lugano
- Contract
- full-time
- Posted
- 2 days ago
SalaryCHF 79'500 - 135'000
Role overview
At Zurich, we rely on insightful data to power our systems and solutions.
We’re seeking an experienced data scientist to deliver insights on a daily basis.
The ideal candidate will have mathematical and statistical expertise, a natural curiosity, and a creative mind.
- At Zurich, we rely on insightful data to power our systems and solutions.
- We’re seeking an experienced data scientist to deliver insights on a daily basis.
- Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
- Execute analytical experiments to help solve problems across various domains and industries.
- Execute analytical experiments to help solve problems across various domains and industries. Required skills and qualifications
Main responsibilities
- Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
- Execute analytical experiments to help solve problems across various domains and industries.
- Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
- Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
- Analyze data for trends and patterns, and interpret data with clear objectives in mind.
- Implement analytical models/machine learning, including LLMs and agentic AI solutions, in production by collaborating with software developers and IT team.
Key requirements
- We’re seeking an experienced data scientist to deliver insights on a daily basis.
- Execute analytical experiments to help solve problems across various domains and industries. Required skills and qualifications
- Five or more years of experience in data science or proven experience.
- Advanced experience in pattern recognition, predictive modeling, and generative AI (LLMs, transformers, etc.).
- Hands-on experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).
Application process
- Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI-based applications.
- Develop, fine-tune, and deploy large language models and agentic AI systems for automation, knowledge extraction, and conversational AI use cases.
- Stay updated with the latest advancements in generative AI, prompt engineering, and autonomous agents. Required skills and qualifications
- Five or more years of experience in data science or proven experience.
- Advanced experience in pattern recognition, predictive modeling, and generative AI (LLMs, transformers, etc.).
- Hands-on experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).
- Familiarity with agentic AI concepts and frameworks (e.g., AutoGPT, BabyAGI, CrewAI).
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
Additional details
- As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. Objectives of this role
- Stay updated with the latest advancements in generative AI, prompt engineering, and autonomous agents.
- Analytical mind and business acumen. Strong math skills
- Let’s continue to grow together! Schedule: Full Time Recruiter name: Caroline Louis
Notes and original content
- As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.
- Objectives of this role
- Responsibilities
- Analytical mind and business acumen.
- Strong math skills
- Let’s continue to grow together!
- Location(s): MY
- Kuala Lumpur
- Schedule: Full Time
- Recruiter name: Caroline Louis
