Zurich Insurance

Data Scientist

Zurich Insurance

full-time

Posted on:

Location Type: Office

Location: Kuala Lumpur • 🇲🇾 Malaysia

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureHadoopJavaPythonScalaSQL

About the role

  • Collaborate with product design and engineering teams to develop an understanding of needs.
  • Research and devise innovative statistical models for data analysis, including advanced AI techniques such as LLMs and Agentic AI.
  • Communicate findings to all stakeholders.
  • Enable smarter business processes by using analytics for meaningful insights.
  • Keep current with technical and industry developments, especially in generative AI and autonomous agent systems.
  • Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities.
  • 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.
  • 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.
  • 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.

Requirements

  • Three 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.
  • Experience in data mining.
  • Understanding of machine learning, deep learning, and operations research.
  • Knowledge of R, SQL, and Python; familiarity with Scala, Java.
  • Experience using business intelligence tools (e.g., Power BI) and data frameworks (e.g., Azure, AWS, Hadoop, RDMS).
  • Analytical mind and business acumen.
  • Strong math skills.
  • Problem-solving aptitude.
  • Excellent communication and presentation skills.
  • BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • Able to multitask and manage projects with minimal supervision.
Benefits
  • Professional certification.
  • Opportunity to work with a dynamic, research-oriented group.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencepattern recognitionpredictive modelinggenerative AImachine learningdeep learningdata miningRSQLPython
Soft skills
analytical mindbusiness acumenproblem-solving aptitudeexcellent communicationpresentation skillsability to multitaskproject managementcollaborationdynamic work environmentresearch-oriented
Certifications
BSc/BA in Computer ScienceBSc/BA in Engineeringgraduate degree in Data Science