Data Science Engineer Intern for an Australian LegalTech Platform

Join an innovative Australian LegalTech startup founded in 2023 that's revolutionizing the legal and financial industry through AI-powered solutions. As a Data Science Engineer Intern, you'll be at the forefront of developing cutting-edge solutions that help law firms make data-driven decisions in claims assessment.

The role offers a unique opportunity to work with advanced technologies including Natural Language Processing (NLP), graph databases (Neo4j), and cloud solutions on AWS. You'll be responsible for structuring data, implementing NLP solutions, and developing efficient tools primarily using Python, with exposure to TypeScript and React for frontend development.

This is an ideal position for a Computer Science or Data Science student or recent graduate who has hands-on experience with graph databases and NLP. You'll work in a dynamic startup environment where you can make significant contributions to the platform's core functionalities while gaining valuable industry experience.

The position is based in Sydney with a hybrid work arrangement, offering a 6-month full-time internship with monthly allowance. What makes this opportunity particularly attractive is the potential for conversion to a full-time role, making it an excellent stepping stone for your career in data science and engineering.

You'll be working with a team that values innovation and technical excellence, using modern tools like Jira and Confluence for project management. The company's mission to transform the legal tech space through AI and data analytics means you'll be working on meaningful projects that have real-world impact.

This role is perfect for someone who is passionate about applying data science and engineering principles to solve complex problems in the legal industry. You'll need to be proficient in Python, comfortable with graph databases like Neo4j, and have experience in NLP and data preprocessing. The startup environment offers rapid learning opportunities and the chance to wear multiple hats while developing your technical and professional skills.