Data Science Intern (AI)

TL;DR

Data Science Intern (AI): Supporting the regional Data and Analytics team in driving innovation and AI adoption across the APAC region with an accent on building scalable data solutions and operationalizing machine learning models. Focus on developing AI-driven applications, managing complex datasets, and collaborating with stakeholders to deliver measurable business impact.

Company

hirify.global is a leading multi-line insurer serving people and businesses in more than 200 countries and territories for over 150 years.

What you will do

• Collaborate with business stakeholders to design and engineer scalable data solutions.
• Build, deploy, and maintain AI-driven applications and APIs using FastAPI and Docker.
• Manage and optimize structured and unstructured data using SQL and NoSQL databases.
• Develop advanced models in machine learning, NLP, computer vision, and generative AI.
• Architect and secure data science solutions using Azure cloud services.
• Lead end-to-end implementation of data initiatives from ingestion to deployment.

Requirements

• Ongoing or completed bachelor’s degree in computer science, mathematics, data science, or a related field.
• Experience implementing data science projects that deliver measurable value.
• Proficiency in statistical and predictive modeling techniques including supervised/unsupervised learning and neural networks.
• Strong programming skills in Python.
• Practical experience managing structured and unstructured datasets.
• Availability for a 4-6 month internship period (July - Dec).

Nice to have

• Familiarity with Azure cloud services.
• Experience with GitHub Actions for CI/CD.
• Knowledge of modern AI libraries and orchestration tools like LangGraph and OpenAI Agents.

Culture & Benefits

• Opportunity to work in a dynamic, agile, and lean team environment.
• Exposure to cutting-edge AI and analytical practices in a global organization.
• Commitment to an inclusive and diverse workplace culture.
• Flexible working arrangements available.
• Focus on continuous learning, growth, and professional development.