Data Scientist

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

Join Hexa as a Data Scientist and contribute to advanced analytics initiatives within the insurance sector. This fully remote opportunity, 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.

WHAT YOU WILL DO

• - Analyze complex datasets to identify relevant patterns, trends, anomalies and relationships between variables.
• - Design, develop and validate statistical and predictive models to address business challenges.
• - Apply statistical inference and hypothesis testing to evaluate assumptions and support reliable conclusions.
• - Develop machine learning models, assessing their performance, robustness and explainability.
• - Explore, clean and validate datasets to improve consistency, accuracy and analytical reliability.
• - Perform exploratory and multivariate analysis to identify relevant relationships and opportunities for optimization.
• - Translate quantitative findings into clear recommendations that support business decision-making.
• - Communicate analytical results effectively to technical and non-technical stakeholders.

WHAT WE ARE LOOKING FOR

• - At least 3 years of professional experience in Data Science, Applied Statistics, Advanced Analytics or related quantitative roles.
• - Academic background in Statistics, Mathematics, Actuarial Science, Econometrics, Data Science or a comparable quantitative discipline.
• - Strong quantitative reasoning and the ability to approach complex analytical problems systematically.
• - Experience independently investigating datasets, developing analytical approaches and validating results.
• - Critical thinking and methodological discipline when assessing assumptions, statistical relationships and analytical conclusions.
• - Ability to distinguish correlation from causation and recognize limitations in analytical interpretations.
• - Attention to detail, intellectual curiosity and commitment to the quality and reliability of analytical outputs.
• - Clear communication skills and the ability to present complex quantitative findings in an accessible, business-oriented manner.

TECHNICAL SKILLS

• - Python for data analysis, statistical modeling and predictive analytics.
• - SQL for data exploration, extraction, transformation and validation.
• - Python libraries including pandas, NumPy, scikit-learn and statsmodels.
• - Descriptive and inferential statistics, probability distributions and statistical hypothesis testing.
• - Regression analysis, time series analysis and multivariate statistical methods.
• - Predictive modeling, segmentation techniques and machine learning algorithms.
• - Model evaluation, validation, explainability and robustness assessment.
• - Exploratory data analysis, data quality assessment and anomaly detection.
• - Data visualization techniques and libraries for analytical reporting.

NICE TO HAVE

• - Experience with Power BI or comparable business intelligence tools.
• - Familiarity with applying statistical analysis to business performance and decision-support scenarios.

WHAT WE OFFER

• - A fully remote working model within Portugal, supporting flexibility and work-life balance.
• - Private health insurance from the first day, with no waiting periods and optional family extension.
• - Confidential psychological support through TEAM 24, including access to professional assistance, educational content and live sessions.
• - Continuous learning opportunities, with support for professional training and certifications.
• - Opportunities to strengthen expertise in information security, AI governance and quality management best practices.
• - Childcare vouchers and family support measures designed to help balance professional and personal responsibilities.
• - A collaborative professional environment with access to team initiatives, shared learning and ongoing support.

EQUAL OPPORTUNITY

At Hexa, we are committed to providing equal opportunities and fostering an inclusive workplace where different backgrounds, experiences and perspectives are respected. In line with the principles of the Portuguese Diversity Charter, we promote fair recruitment practices and value each professional's skills, contributions and potential.

HEXA LIFE

At Hexa, we are all Builders. Every professional contributes to creating meaningful solutions, strengthening relationships and developing capabilities that last.

Our culture is grounded in three principles: Honesty, Mutual Support and Agility. We value transparent communication, shared knowledge and the ability to adapt with a solution-oriented mindset.

As a Hexa Builder, you become part of a connected professional community where individual expertise strengthens collective progress. Wherever you work, you contribute to a common purpose: building what comes next, together.