Data Scientist

Quick Facts

• Focus: risk assessment models for fraud/abuse evaluation in an insurance claims and benefits handling system.

• Scope: full ML lifecycle—data preparation, training, deployment, validation, and ongoing verification in production.

Description

Join an insurance-focused project to develop a modern system for handling claims and benefits. The role focuses on building risk assessment models, validating new methods and data sources, and maintaining them in production.

Responsibilities

• Build, develop, and maintain risk assessment models for fraud abuse.

• Deliver the full model lifecycle: data acquisition and analysis, preprocessing, training, and deployment.

• Select analytical and modeling approaches for business problems using tabular, text, and graph data.

• Design and develop feature engineering.

• Assess data quality and identify limitations.

• Validate new models and new data sources.

• Interpret, explain, and document analysis and model results.

• Collaborate with business teams and developers to implement and maintain the solutions.

Requirements

• Minimum 3 years of experience as a Data Scientist.

• Experience deploying developed models into production environments.

• Ability to evaluate model effectiveness and predict model behavior in production.

• Ability to assess model performance after going live and justify recommendations.

• Strong SQL knowledge.

• Experience building classification models from logistic regression to gradient boosting.

• Practical feature engineering experience.

• Ability to select validation methods and model evaluation metrics.

• Ability to design experiments and analyze results.

• Knowledge of model explainability techniques such as SHAP.

• Ability to independently code and run analytical experiments.

• Knowledge of current machine learning trends and methods.

• Ability to evaluate when using LLMs is justified versus classical analytical methods.

Benefits

• Job stability with long-term projects and growth opportunities across IT areas.

• Flexible employment options: B2B, employment contract, or contract work.

• Benefits: Medicover (expanded with dentistry), FitProfit, English lessons.

• F45 gym training at the office.

• Internal referral program and possible funding for IT certificates.

• Depending on the project: hybrid, remote, or on-site work.

• Integration events and charity initiatives.