ML Engineer (MADRID, M, ES, 28043)

Allianz
Madrid
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Analytical thinking","Results orientation","Problem-solving","Cross-functional collaboration"]

Develop and operate advanced AI/ML models for customer retention and portfolio optimization in the Auto and Home lines. Design, train, calibrate, monitor, and continuously improve churn models, turning analytics into actionable segmentations and recommendations. Partner with business teams to validate hypotheses and drive data-based decisions, ensure data/pipeline quality, analyze performance for re-training and optimization, and help industrialize models with MLOps practices in cloud environments (preferably Azure).

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FursaFursa
Allianz
Allianz
12 hours ago

ML Engineer (MADRID, M, ES, 28043)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop and operate advanced AI/ML models for customer retention and portfolio optimization in the Auto and Home lines. Design, train, calibrate, monitor, and continuously improve churn models, turning analytics into actionable segmentations and recommendations. Partner with business teams to validate hypotheses and drive data-based decisions, ensure data/pipeline quality, analyze performance for re-training and optimization, and help industrialize models with MLOps practices in cloud environments (preferably Azure).
Location: Madrid
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, train, calibrate, and monitor predictive churn models, ensuring accuracy, robustness, and continuous evolution.
  • •Develop advanced analytics to identify churn risks and portfolio optimization opportunities.
  • •Translate analytics outputs into segmentation, prioritization, and actionable recommendations for business teams.
  • •Support retention campaigns with P&C and portfolio management teams to maximize business impact.
  • •Oversee data quality and the pipelines feeding analytics models, and analyze model/campaign performance to identify improvements and retraining needs.
Travel: Low travel

Pay and Benefits

Perks:Remote WorkMeal AllowanceLearning BudgetGym Membership

Key Requirements

  • •Degree or Master’s in Mathematics, Statistics, Engineering, Data Science or related fields.
  • •High-level English and Spanish.
  • •End-to-end Machine Learning model development experience.
  • •Strong predictive modeling experience for churn, including classification and churn use cases.
  • •Proficiency in Python and SQL, plus experience building and maintaining data pipelines; knowledge of Spark/Big Data and MLOps is expected.
Experience:InsuranceMachine learningBig dataMLOps
Education:
Skills:CommunicationAnalytical thinkingResults orientationProblem-solvingCross-functional collaboration
Languages:EnglishSpanish
Tech Stack:PythonSQLSparkMachine LearningMLOpsCloudMicrosoft Azure

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
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: Munich, Germany
Founded: 1890
WebsiteLinkedIn