Senior Data Scientist
- Hiring from
- Portugal
- Work type
- Hybrid
- Posted
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ABOUT THE OPPORTUNITY
We are looking for a Senior Data Scientist to join a team in the insurance sector, contributing to the development and continuous improvement of predictive models and advanced Machine Learning solutions. This role is based in Lisbon.
WHAT YOU WILL DO
- Use data, analytical models, and advanced algorithms to generate business value, working closely with Product Owners, Data Engineers, and other stakeholders to define and continuously improve solutions.
- Actively participate in the different stages of Machine Learning projects, from opportunity identification and solution design to development, validation, and deployment into production, bridging the gap between business and technology teams.
- Collaborate with Data Engineering teams to define, test, and optimize data and Machine Learning pipelines, ensuring the robustness and scalability of implemented solutions.
- Act as a technical reference for Algorithmic Pricing & Underwriting initiatives, driving continuous innovation, identifying opportunities to improve existing processes, and ensuring the monitoring and maintenance of solutions in production.
- Play a key role in defining and promoting Machine Learning best practices, keeping up with market trends, leading Proofs of Concept (POCs), and establishing standards and frameworks for the organization's different use cases.
- Contribute to the team's technical development by promoting knowledge sharing and supporting the adoption of methodologies and technologies that improve operational efficiency and the quality of service delivered to customers.
WHAT WE ARE LOOKING FOR
- Python for Machine Learning development, analytical processing and production-oriented software implementation.
- SQL for data extraction, transformation, analysis and optimization.
- Supervised Machine Learning and predictive modelling techniques.
- Applied statistics, including probability distributions, hypothesis testing, confidence intervals and sampling methodologies.
- Model development, validation, performance evaluation and monitoring.
- Machine Learning pipelines and production deployment practices.
- MLOps principles, including model lifecycle management, reproducibility and automation.
- CI/CD practices and version control workflows.
- GitHub or GitLab for collaborative development and code management.
- MLflow for experiment tracking and Machine Learning lifecycle management.
- Docker for application containerization and deployment.
- Agile software development methodologies.
NICE TO HAVE
- Previous experience in the insurance sector, particularly in pricing, underwriting or risk-related analytics.
- Experience with AWS cloud services, including SageMaker and Lambda.
- Knowledge of algorithmic pricing methodologies and their application to business optimization.
WHAT WE OFFER
- Private health insurance from your first day, with no waiting periods and the option to extend coverage to family members.
- Free and confidential psychological support through our TEAM 24 partnership, including professional guidance and well-being resources.
- Continuous professional development through training, learning opportunities and certification support.
- Opportunities to strengthen expertise in AI governance, quality management and information security best practices.
- A hybrid working environment, with flexibility aligned with project requirements.
- Childcare vouchers and practical measures supporting work-life balance.
- Opportunities to connect with colleagues through team initiatives, shared experiences and community activities.
- A professional environment that values individual contribution, knowledge sharing and long-term development.
EQUAL OPPORTUNITY
At Hexa, we are committed to equal opportunity, diversity and inclusion. In alignment with the principles of the Portuguese Diversity Charter, we welcome applications from professionals of all backgrounds and evaluate candidates based on their skills, experience and potential. We believe that diverse perspectives strengthen collaboration, innovation and sustainable outcomes.
HEXA LIFE
At Hexa, we are all Builders.
Every Builder contributes to something greater through expertise, responsibility and collaboration. Our culture is grounded in three principles: Honesty, Mutual Support and Agility.
We believe in transparent communication, shared knowledge and the ability to adapt while maintaining a strong focus on quality and meaningful results.
Whether working within a client team, contributing to a technical solution or supporting colleagues, every Builder helps strengthen our collective capabilities.
We Build Together.