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Manager insurance • neckargemund
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Data Risk Manager mwd
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EnzoHeidelberg, Baden-Württemberg, GermanyAt Enzo were revolutionizing the way buildings manage water systems. Our mission is to prevent water damage reduce waste and promote sustainability through cuttingedge IoT and AI technology. By combining deep technical expertise with a commitment to resource conservation we help insurers property managers and homeowners take proactive steps toward protecting their properties and the planet.
Tasks
As a Data & Risk Manager at Enzo you will play a critical role in leveraging data and machine learning to drive impactful insights. Your responsibilities will include analyzing complex datasets optimizing AI models and collaborating with multidisciplinary teams. While your focus will extend across various projects a primary example is our work on water and leakage pattern detection where you will :
- Anomaly Analysis : Monitor and analyze data from our AIbased early warning systems to identify potential anomalies distinguishing between true positives (actual leaks) and false alerts.
- Incident Evaluation : Use physicsbased reasoning and water pipe system knowledge to evaluate the likelihood of detected anomalies being genuine.
- System Optimization : Provide feedback to the development team to enhance the accuracy and performance of our AI models.
- Reporting : Document and categorize findings generate detailed reports on system performance and suggest improvements.
- Collaboration : Partner with hardware software and AI teams to refine detection protocols and ensure system updates align with user needs.
- Customer Communication : Occasionally engage directly with customers to gather insights about detected anomalies and confirm potential water leaks.
Requirements
Who You Are
Youre an innovative thinker with a passion for solving complex problems. Your skillset includes :
Qualifications
Bachelors or Masters degree in Physics Data Science Engineering or a related field.
Ideally 3 years of experience in roles involving data analysis machine learning or water systems monitoring.
Familiarity with AI systems IoT and anomaly detection is a plus.
Understanding of water pipe systems or fluid dynamics.
Excellent report writing and presentation skills for both technical and nontechnical audiences.
Benefits
How to Apply
Wed love to hear from you! Please send us your CV and a motivation letter telling us why youre the perfect fit for this role and what excites you about joining our missiondriven team.
Key Skills
Arm,Risk Management,Financial Services,Cybersecurity,COSO,PCI,Root cause Analysis,COBIT,NIST Standards,SOX,Information Security,RMF
Employment Type : Full Time
Experience : years
Vacancy : 1