{"id":1841439,"url":"https://alion.io/job/zurich-australia-data-scientist","title":"DATA SCIENTIST","company":{"id":74,"name":"Zurich Insurance Group","domain":"zurich.com","url":"https://alion.io/company/zurich","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":88,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-09-24T02:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-18T06:03:38Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"About Us\nZurich Insurance Company is a leading provider of insurance products and services, committed to delivering innovative solutions and exceptional customer service. Our ZCAM (Zurich Customer Active Management) team turns customer data into practical business solutions to drive the implementation of our ambitious customer strategy. If you are a talented and experienced Data Scientist, passionate about transforming complex data into actionable insights and have a strong background in machine learning, agentic AI, and developing innovative solutions, we would love to hear from you.\nSo make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.\nThe opportunity: DATA SCIENTIST\nJob Description\nThe Data Scientist will be\nresponsible for designing, building, and maintaining AI- and ML-powered solutions that run in production and support data-driven decisions across the Zurich organization. You will focus on creating robust data and AI pipelines, integrating existing tools and services (including LLMs), and ensuring that prototypes and proofs of concept are industrialized into secure, scalable systems. By combining strong software engineering skills with an understanding of data and AI, you will help create a solid foundation that enables innovation and business growth.\nResponsibilities\nDesign, develop, and deploy AI/ML-powered features, AI agents, LLM-based solutions, and analytics services in production environments.\nBuild and maintain data and AI pipelines, connecting existing tools (e.g. OCR, LLM services, databases, dashboards) and ensuring reliable data flows.\nSource, collect, and analyze new data sources to support AI/ML solutions and ad hoc business questions.\nWork closely with software development teams to integrate AI/ML components into applications and platforms following engineering best practices.\nCollaborate with business stakeholders to translate complex technical concepts into actionable, user-friendly solutions and insights.\nResearch, prototype, and implement emerging AI/ML technologies, particularly in generative AI and modern data engineering/data science tools.\nContribute to data and AI roadmaps and architectural decisions to ensure scalable, secure, and maintainable solutions.\nRequirements\nUniversity degree in physics, mathematics, computer science or a related field.\nProfessional experience in a related role and/or demonstrated competency (projects) utilizing relevant technologies.\nProficient in Python, with experience building production systems and integrating APIs and services.\nStrong foundation in unstructured data processing, combining techniques such as OCR, LLM-based extraction, data format consistency, and regular expressions, along with software engineering best practices including version control, testing frameworks, and code documentation.\nExperience with machine learning tools in big data environments, with a focus on deploying and operating models/services rather than purely research.\nPractical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and response optimization.\nExperience with SQL/NoSQL databases and data modeling for production systems.\nAbility to quickly build Proofs of Concept (POCs), MVPs, and tests to demonstrate value and validate innovative solutions in an agile manner.\nExperience with dashboard and data visualization tools such as Power BI, Streamlit, or similar is a plus.\nStrong problem-solving skills, analytical mindset, and attention to detail.\nExcellent verbal and written communication skills, including the ability to explain technical issues to a non-technical audience.\nPrior experience in financial institutions, consulting firms, or other similar industries is a plus.\nStrong proficiency in both English and Portuguese is required; 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