Bessemerstraße 51, First Floor, Berlin 12103, Germany

Operations Manager Analyst (f/m/d)

Germany, Coburg HUK-COBURG-Allgemeine Versicherung AG

Job Description

HUK-COBURG-Allgemeine Versicherung AG is seeking an Operations Manager Analyst to support the development and optimization of data-driven services and models for efficient, customer-focused regulatory processes. The role involves applying machine learning methods to improve value chains and regulatory workflows, as well as developing and optimizing a data-based work management system for the claims settlement organization.

Responsibilities include maintaining and expanding data infrastructure, designing control logic with specialist departments and IT, initiating control measures based on analytical findings, developing emergency scenarios, and contributing to interdisciplinary projects. The successful candidate will also prepare and communicate analytical results to stakeholders.

Applicants should have a degree in mathematics, physics, business informatics, data science, statistics, or a comparable field, along with professional experience in data science or machine learning engineering related to regulatory processes. Strong Python programming, machine learning and deep learning knowledge, data analysis, database skills, experiment evaluation, and dashboard development are required.

The position offers flexible working hours and the option to work up to half of monthly working hours remotely or on the go. Benefits include 31.5 days of vacation, 13.3 monthly salaries, performance-related pay, professional development, a company pension scheme, and company bicycle subsidies.

Requirements

  • Degree in mathematics, physics, business informatics, data science, statistics, or a comparable field
  • Professional experience as a data scientist or machine learning engineer, focusing on analytical support for regulatory processes
  • Excellent programming skills in Python and other languages
  • Confident use of development and analysis tools
  • Deep understanding of machine learning and deep learning methods
  • Knowledge of data structures, databases, and causal inference
  • Experience with experiment design and evaluation
  • Experience in business monitoring, visualization, dashboards, and reporting solutions
  • Experience analyzing large datasets
  • Experience building data pipelines and designing complex database queries
  • Strong analytical and conceptual skills
  • Business acumen
  • Ability to communicate complex issues clearly

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