Data Science Specialist

About the Opportunity:

We are seeking a Data Science Specialist to work strategically within our Auto Pricing and Analytics area. This is a high-visibility role for professionals who want to be key drivers in value generation, leading the development of complex predictive models, experimentation, and the creation of new analytical features applied to the business.

If you have strong analytical thinking, a passion for solving complex business problems through data, and want to transform the insurance market, this role is for you.

Key Responsibilities:

• Advanced Modeling: Develop predictive and statistical models focused on pricing (GLMs and Machine Learning), propensity, acceptance, and fraud prevention.
• Feature Engineering: Build advanced features from large volumes of internal and external data (geospatial, behavioral, and market data).
• Strategic Pricing: Support the construction, calibration, and maintenance of tariff models and business rules in production environments.
• Experimentation and Validation: Develop and monitor A/B tests to validate model impact, ensuring statistical consistency between exploratory and production environments.
• Business Acumen: Translate business pain points (loss ratios, conversion, retention) into structured analytical solutions and convert technical insights into executive recommendations.
• Collaboration and MLOps: Partner with data engineering teams for the deploy, monitoring, and operationalization of models via analytical pipelines.

Requirements and Qualifications

Academic Background: Completed higher education in quantitative fields (Statistics, Mathematics, Engineering, Computer Science, Economics, or related areas).

Technical Knowledge

• Strong experience in Machine Learning (tree-based models, boosting, neural networks) and statistical modeling.
• Advanced proficiency in Python and SQL.
• Experience with Databricks (PySpark, MLflow, notebooks, Delta Lake).
• Hands-on experience with large data volumes, model metric evaluation, and A/B testing.
• Understanding of MLOps and integration between analytical models and tariff models.
• Relevant advantage: Previous experience in the insurance/reinsurance sector.
• Technical advantage: Familiarity with actuarial pricing software (such as the WTW suite - Emblem and Radar).