Remote Data Scientist: Insurance Analytics & ML

Hexa Group; Portugal; Remote; EUR 42,000 - 65,000; Full time

Benefits offered by this job

Health insurance

Psychological support

Training & certifications

Security and governance focus

Childcare vouchers

Collaborative environment

Job summary

Hexa is seeking a Data Scientist to advance analytics initiatives within the insurance sector. This fully remote role, based in Portugal, focuses on applying statistical methods, predictive modeling and machine learning to support evidence-based business decisions.

You will work with complex datasets, ensuring analytical accuracy, model reliability and clear interpretation of results. The position emphasizes rigorous analysis and effective communication with technical and non-technical

Qualifications

• 3+ years of professional data science or analytics experience.
• Solid foundation in statistics, econometrics or actuarial science.
• Ability to translate data into business insights.
• Experience with hypothesis testing and model validation.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Analyze complex datasets to identify patterns and relationships.
• Design and validate statistical and predictive models.
• Apply inference and hypothesis testing to support conclusions.
• Develop machine learning models with performance and explainability.
• Explore and clean datasets to improve data quality.
• Perform multivariate analyses to uncover optimization opportunities.
• Translate findings into actionable business recommendations.
• Present analytical results to technical and non-technical stakeholders.

Skills

Python

Statistics

Machine learning

SQL

Data visualization

Education

Degree in Statistics/Mathematics/Data Science

Tools

pandas

NumPy

scikit-learn

statsmodels

Power BI

SQL

Job description

Hexa is seeking a Data Scientist to advance analytics initiatives within the insurance sector. This fully remote role, based in Portugal, focuses on applying statistical methods, predictive modeling and machine learning to support evidence-based business decisions.

You will work with complex datasets, ensuring analytical accuracy, model reliability and clear interpretation of results. The position emphasizes rigorous analysis and effective communication with technical and non-technical