Earnix is a leading provider of advanced pricing and rating solutions tailored to the insurance industry. Our cutting-edge software empowers actuaries and data scientists within insurance companies to make data-driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the insurance landscape, Earnix is at the forefront of revolutionizing the way insurers approach pricing and rating.

We are seeking a student with a passion for AI and ML to join our Data Science team, focused on driving product innovation through our AI-powered solutions. This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop large language model (LLM) capabilities that enhance the performance and scalability of our AI tools. Interns will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.

What you’ll do:

• Optimize and refine AI solutions to enhance performance, accuracy, and efficiency.
• Expand training and testing data, leveraging both hand-crafted and automated examples.
• Address challenges in AI architecture scalability and reliability.
• Stay at the forefront of AI advancements and best practices.

You’ll do It using:

• Currently pursuing a bachelor’s degree in Computer Science, Information systems or Data Science, with at least 3 semesters left to graduation (GPA of 80 and above).
• Accomplished relevant courses such as NLP, Machine Learning, Deep Learning, and Information Retrieval, with a GPA of 85 and above.
• Proficiency in Python or an equivalent.
• Familiarity with AI tools, frameworks, and ML concepts.
• Completed courses in Prompt Engineering / LLMs – an advantage.
• Hands-on experience in AI/ML through internships, projects, or research – an advantage.
• Experience with cloud platforms (AWS, Google Cloud, Azure) – an advantage.

You'll excel by:

• Strong communication and collaboration skills
• Committing to thinking like an owner and taking initiative.
• Being a motivated self-learner and driving innovation and excellence in your work.
• Being creative and adaptable in your problem-solving skills.