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Data Scientist – AI/ML Solutions (São Paulo)

Zurich Insurance Company Ltd. · São Paulo

Novo
🇬🇧 English
Python Prompt engineering OCR Regular expressions Version control Testing frameworks Code documentation SQL NoSQL Power BI Streamlit

Descrição do cargo

About the role

Zurich Insurance Company’s ZCAM team is looking for a talented Data Scientist to design, build and maintain AI/ML‑powered solutions that run in production and support data‑driven decisions across the organization.

Key responsibilities

  • Design, develop and deploy AI/ML features, AI agents, LLM‑based solutions and analytics services in production environments.
  • Build and maintain data and AI pipelines, integrating tools such as OCR, LLM services, databases and dashboards.
  • Source, collect and analyse new data sources to support AI/ML solutions and ad‑hoc business questions.
  • Collaborate with software development teams to integrate AI/ML components following engineering best practices.
  • Translate complex technical concepts into actionable, user‑friendly solutions for business stakeholders.
  • Research, prototype and implement emerging AI/ML technologies, especially generative AI and modern data engineering tools.
  • Contribute to data and AI roadmaps and architectural decisions to ensure scalable, secure, maintainable solutions.

Required profile

  • University degree in physics, mathematics, computer science or a related field.
  • Professional experience in a data‑science or AI role with demonstrated competency.
  • Strong proficiency in English and Portuguese; Spanish is a plus.
  • Experience in financial institutions, consulting or similar industries is a plus.

Required skills

  • Python programming, including building production systems and integrating APIs.
  • Experience with LLM APIs (OpenAI, Anthropic), prompt engineering and response optimisation.
  • Unstructured data processing techniques such as OCR, LLM‑based extraction and regular expressions.
  • Machine‑learning tools in big‑data environments and deployment of models as services.
  • SQL/NoSQL databases and data modelling for production systems.
  • Dashboard and data‑visualisation tools (e.g., Power BI, Streamlit).

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Source : ats:successfactors

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Publicado há 8 horas

Expira em 1 mês

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Zurich Insurance Company Ltd.

São Paulo