Data Science Intern

aivontis is an AI-native venture studio focused on building high-impact platforms for healthcare and life sciences. We believe AI should not be an add-on but the foundation of every solution. Our mission is to solve real-world healthcare challenges by embedding intelligence into the core of diagnosis, drug discovery, clinical operations, and decision systems. Our vision is to accelerate healthcare outcomes through intelligent systems that are fast, scalable, and built for complexity. About the Role As a Data Science Intern at aivontis, you will be part of a team focused on building intelligent systems that solve real-world challenges in healthcare and life sciences. This internship offers hands-on experience in applied data science, including working with complex datasets and contributing to data-driven product features. You will support model development, data exploration, and analytical workflows that power platforms such as Synapse and Circulus. The role is an opportunity to learn from experienced teams, collaborate across functions, and contribute meaningfully to projects built for scale and real impact Key Responsibilities Support in cleaning, preprocessing, and exploring structured and unstructured healthcare datasets. Assist in developing and evaluating machine learning models. Work with engineering and product teams to ensure data integrity and usability. Visualize data insights and model performance for internal reviews and decision-making. Help document experiments, track results, and maintain reproducibility. Participate in research sprints and contribute to ideation and prototyping. Qualifications and Skills Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field. Strong foundation in Python and libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib. Familiarity with SQL and experience working with structured datasets. Basic understanding of machine learning workflows and model evaluation techniques. Clear communication skills and a collaborative, self-driven work ethic. Bonus: Exposure to NLP, healthcare datasets, or experiment tracking tools (e.g., MLflow, Weights & Biases). What We Look For A structured thinker with an analytical mindset. Someone eager to learn and contribute to impactful, real-world projects. A team player who values open communication and collaborative problem-solving. A passion for using data to improve systems that affect lives and outcomes. #J-18808-Ljbffr