Senior Data Scientist (SI)

Zurich Insurance
Ljubljana
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration","Cross-functional teamwork","Business acumen"]

Transform customer, operational, and financial data into actionable insights by building and deploying statistical, machine learning, and AI models. Work within the Zurich Customer Active Management (ZCAM) team on forecasting, churn and retention, fraud detection, claims analytics, and recommender systems. Develop time-series forecasting solutions, run experiments like A/B tests, collaborate with business and data engineering teams, and support model deployment, monitoring, and dashboarding for decision-making.

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FursaFursa
Zurich Insurance
Zurich Insurance
2 months ago

Senior Data Scientist (SI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Transform customer, operational, and financial data into actionable insights by building and deploying statistical, machine learning, and AI models. Work within the Zurich Customer Active Management (ZCAM) team on forecasting, churn and retention, fraud detection, claims analytics, and recommender systems. Develop time-series forecasting solutions, run experiments like A/B tests, collaborate with business and data engineering teams, and support model deployment, monitoring, and dashboarding for decision-making.
Location: Ljubljana
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop and deploy statistical, machine learning, and AI models to support strategic business objectives.
  • •Design and maintain forecasting solutions for customer, operational, and financial KPIs using time series and predictive modelling techniques.
  • •Build customer intelligence solutions, including segmentation, lifetime value estimation, retention, and churn prediction.
  • •Apply machine learning to fraud detection, claims analytics, risk assessment, and related business use cases.
  • •Collaborate with stakeholders and data engineering teams to deploy, monitor, and continuously improve models, including visualizations and dashboards.

Key Requirements

  • •6+ years of experience in data science, advanced analytics, and machine learning.
  • •University degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related quantitative field (equivalent experience acceptable).
  • •Strong statistical modelling and predictive analytics fundamentals, including regression, tree-based methods, clustering, and classification.
  • •Practical forecasting experience, particularly time series modelling.
  • •Strong programming skills in Python and/or R, as well as SQL.
Experience:6+ yearsInsuranceFinancial servicesCustomer-centric industries
Education:Bachelor's
Skills:Problem-solvingCommunicationCollaborationCross-functional teamworkBusiness acumen
Languages:English
Tech Stack:PythonRSQLAzureDatabricksSpark

Company Brief

Zurich Insurance
Zurich Insurance Group is a global insurance company offering a wide range of general insurance and life insurance products and services to individuals, small businesses and large corporations across multiple markets worldwide.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Zurich, Switzerland
Founded: 1872
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn