Das ist der Job
Collaborate with product owners, engineers and business analysts to define project scope, timelines and deliverables.
Darum lohnt es sich
Key Responsibilities Design, develop and deploy machine‑learning models that analyze vehicle telematics data to support pricing, risk assessment and claims automation. Build data pipelines and ETL processes using Python, SQL and cloud services (e.g., AWS) to ensure reliable, scalable data ingestion from connected vehicles.
Translate complex analytical results into actionable insights and visualisations for stakeholders. Monitor model performance in production, conduct A/B testing, and iterate improvements based on feedback. Requirements Strong proficiency in Python and SQL for data manipulation, modelling and automation.
Hands‑on experience with machine‑learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch) and a solid understanding of supervised and unsupervised techniques. Practical knowledge of telematics data structures, IoT streams, and related analytics challenges.
Proven project‑management skills, including agile methodologies, stakeholder communication and delivery of end‑to‑end data solutions. Experience with cloud platforms such as AWS (S3, EC2, SageMaker, Lambda) for scalable model deployment.
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