DATA SCIENTIST II

Description

Job Summary: At HDI Seguros, you will develop and validate predictive models using ML, create data pipelines with AWS, perform data analysis, and implement solutions to optimize costs in operations and claims. Key Highlights: 1. Develop and validate predictive models using Machine Learning 2. Create and evolve data pipelines using AWS services 3. Perform exploratory data analysis to identify patterns We believe in the dream of building the **best insurance group**, and we value collaboration, creative problem-solving, and transparency—ensuring these values reflect in our products, services, and new partnerships. **Here, we care personally.** This is our mantra that defines the essence of everything we do and value, both inside and outside our offices. In this role, you will work within HDI Seguros’ Operations and Claims Directorate—the area responsible for creating and monitoring performance dashboards and indicators, developing controls, forecasts, and studies aimed at identifying performance deviations and mapping opportunities for cost optimization, aligned with our strategy, vision, and mission. **Responsibilities and Duties** **Your day-to-day will include:** * Develop, train, and validate predictive and prescriptive models using Machine Learning algorithms and statistical techniques for operations and claims; * Create and evolve data pipelines using AWS services, handling structured and scalable data; * Perform exploratory data analysis (EDA) to identify patterns, opportunities, and trends; * Process, clean, and prepare large volumes of data from multiple sources (claims databases, policies, indemnity history, expert reports, images, and external data); * Implement analytical solutions and models into production using AWS tools; * Build and monitor performance metrics to evaluate deployed models; * Conduct statistical studies, simulations, and hypothesis testing to solve business problems; * Document developed processes, models, and methodologies; * Contribute to continuous improvement of data policies, standards, governance, and quality. **Requirements and Qualifications** **Basic requirements include:** * Bachelor’s degree in Data Science, Statistics, or related fields; * Prior experience in the insurance industry; * Advanced proficiency in Python with practical experience in key analytical ecosystem libraries (Pandas, NumPy, Scikit\-learn, Matplotlib, and Seaborn); * Advanced SQL proficiency, including complex dataset modeling, query optimization, and manipulation of large relational datasets related to the claims lifecycle; * Solid foundations in statistics and machine learning, covering supervised and unsupervised techniques, regression, classification, model evaluation, and feature engineering; * Proven experience with AWS, including: * S3 (Data Lake and dataset storage) * Athena or Redshift (querying and analyzing large volumes of data) * Glue (ETL, cataloging, and orchestration) * Lambda (serverless execution) * SageMaker (model training, deployment, registration, and monitoring) * CloudWatch (observability and metrics) * Hands-on experience building data pipelines and deploying models in cloud environments; * Experience with Git and professional versioning practices, as well as containerization using Docker; * Ability to translate technical analyses and model results into clear, actionable recommendations—especially for claims operations teams. **Preferred Qualifications** * Prior experience with Data Lake, Data Warehouse, and modern data architectures; * Experience in Generative AI and LLM projects, including adaptation and fine‑tuning; * Knowledge of NLP, computer vision, MLOps (monitoring, experiment tracking, model registry), and full CI/CD practices for models; * Familiarity with data visualization and storytelling tools (Power BI, Tableau, Looker). **Additional Information** At the **HDI Group**, our daily schedule offers flexible working hours. We promote health and quality of life through medical and dental assistance, Wellhub (Gympass), and other benefits such as transportation allowance or shuttle service, meal vouchers, food vouchers, private pension plan, profit-sharing program (PLR), birthday day off, discounts on HDI Group products, childcare or nursery allowance, life insurance, and much more! So, are you ready? **\#LetsGoTogether?** With a **global presence and over 100 years of history**, the HDI GROUP belongs to the German group **Talanx**, one of Europe’s largest insurance conglomerates. We operate in over 175 countries, delivering protection, innovation, and trust to millions of customers worldwide. **In Brazil**, our journey began in **1979**, and since then, we have grown steadily. Today, **we are one of the country’s leading insurers**, recognized for our service quality, constant innovation, and commitment to people. **We believe a truly innovative environment is only possible when all voices are heard.** That’s why we strongly commit to diversity and inclusion, promoting initiatives that ensure equitable opportunities and a safe space for everyone. We aim to be a place where all individuals can proudly be their authentic selves. **Here, we care personally!** This is our purpose—the essence of everything we do and value, both inside and outside our offices. #### **Our Values Are:** Trust-Based Relationships Making Things Happen Moving Forward Together Ambition to Go Beyond Simplifying Solutions **This is how we work!** **Do you identify with us? Join our team and** **\#LetsGoTogether.**