Job Description & Requirements

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PAŞA Insurance invites candidates to apply for the position of Senior Specialist in Data Science to become a member of the professional team. Requirements: Higher education in Mathematics, Statistics, Computer Science, Data Science, or a related field; Minimum of 3+ years of experience in data science or machine learning; Strong experience in GLM and statistical modeling; Practical experience with Propensity, uplift, and customer behavior models; Strong knowledge of Python and data science stack (pandas, numpy, scikit-learn, etc.); Experience working with SQL and large-scale data; Experience with Dataiku or similar ML platforms; Ability to work on the full ML pipeline from model development to deployment.

Job Responsibilities

PAŞA Insurance invites candidates to apply for the position of Senior Specialist in Data Science to become a member of the professional team. Main responsibilities include the design and implementation of forecasting and machine learning models for insurance pricing, risk analysis, and customer analytics; development and optimization of risk and pricing models based on Generalized Linear Models (GLM); creation and enhancement of Propensity-to-buy (PTB), uplift, and customer behavior models using the Python ecosystem (pandas, numpy, scikit-learn, statsmodels, etc.); management of data preparation, model development, and deployment processes on the Dataiku DSS platform; feature engineering, model validation, and monitoring of model performance; integration of analytical results into business decisions through close collaboration with business and product teams; deployment of models in production environments and their continuous monitoring; application of technical best practices in data science and ML projects.

Desired knowledge and experience: Experience in insurance analytics and pricing models; Knowledge of A/B testing, causal inference, and uplift modeling approaches; Experience in Generative AI, Computer Vision, and related ML fields; Knowledge of MLOps and model deployment monitoring processes.

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This position requires application on the employer's website.