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Senior Accountant role at Verisk in Krakow, responsible for monthly journal entries, financial data accuracy, SOX controls, financial reporting, and process improvement. Requires 5+ years of general ledger experience and a Master's degree in accounting. Fluency in English and proficiency in Microsoft Office are essential.

The Accounting Manager will oversee the monthly financial close process for German business units, ensuring accurate financial reporting, compliance with both German GAAP and US GAAP, and maintaining balance sheet integrity. The role includes team supervision, collaboration with auditors, and adherence to internal control policies.

The Senior ML Engineer will design, build, and deploy machine learning and deep learning models, perform data analysis, collaborate with teams to deliver innovative solutions, and document methodologies and results. The role requires staying current with advancements in ML and optimizing models for performance.

The API Architect will design and develop robust APIs and scalable microservice architectures, maintain event-driven systems, and collaborate with cross-functional teams for feature development while ensuring application performance and code quality.

The Account Manager will deliver contracted support services, ensuring adherence to ITIL v3 for better customer experience. Responsibilities include resolving application issues, client engagement, internal training, and ensuring client data security while meeting service level agreements.

Verisk is seeking a Junior/Mid Data Scientist to join their team in Cracow and support projects for the US-based insurance market. Responsibilities include executing analysis project plans, creating high-performing models, analyzing structured and unstructured data, collaborating with technical teams, and keeping up with emerging methods. Must have a graduate-level degree in a quantitative discipline, experience in statistical and machine learning, proficiency in Python, R, SQL, and cloud computing, and willingness to work full-time in a hybrid model. Knowledge in insurance and practical experience with Python unit tests, GitLab CI/CD pipelines, and ETL pipelines is a plus.

The Research Engineer II will develop probabilistic flood hazard models, manage data collection and analysis, automate data capture, and work with hydrological and hydraulic modeling modules. Responsibilities include integration of high-quality data and ensuring robust modeling processes for flood hazard assessments.