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The role involves building machine learning models, analyzing large datasets, and developing customer segments to support targeted campaigns. Applicants should have strong skills in Python and SQL, experience in the ML lifecycle, and fluency in English. Familiarity with big data tools and cloud platforms is a plus.
Job Responsibility:
Build machine learning models for churn, cross-sell, and customer behavior
Develop customer segments to support targeted campaigns
Analyze large datasets using SQL and Python
Translate model results into business insights and CRM actions
Monitor model performance and manage retraining pipelines
Requirements:
Build machine learning models for churn, cross-sell, and customer behavior
Develop customer segments to support targeted campaigns
Analyze large datasets using SQL and Python
Translate model results into business insights and CRM actions
Monitor model performance and manage retraining pipelines
Nice to have:
Familiarity with big data tools (Spark, Hadoop) and cloud platforms (Azure, AWS)
Strong communication and business understanding
What we offer:
Working in Green certificated & pet friendly Allianz Tower / Allianz Kampüs with modern work spaces, gym & social areas
Working in agile, flexible, digital and social culture
Flexible working hours
Working 40 hours a week
Remote working
Flex summer (July – August)
Part time working
Yearly bonus
Home expense payment
Home office payment (monthly)
Transportation
Life insurance
Employer sponsored pension & Family included health insurance
Special Allowances (Marriage, newborn etc.)
Meal Allowance (Setcard/monthly)
School Report Day (Half Day) & First Day of school (Half Day)
Allianz day off
Birthday day off
Paternity Leave – 10 days
Marriage Leave – 5 days
After 4 years of work, having extra one day annual leave each year (up to 26 days)
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