About the Company:

• Founded in 2023, our client’s vision is to transform the legal and financial industry by creating a platform that empowers law firms and investors to make a positive impact on society.
• To harness the power of AI and data analytics, our client’s mission is to empower law firms with unparalleled insights and precision in claims assessment

About the Role:

This internship is a unique opportunity to work on cutting-edge projects in legal tech and develop hands-on experience in data science and software engineering. As a Data Science Engineer, you will be instrumental in developing the core functionalities of the platform, focusing on data preprocessing and integration. This role offers exposure to real-world challenges in handling large datasets and building scalable solutions.

Key Responsibilities:

• Data Preprocessing: Process large volumes of unstructured data (e.g., text files, PDFs, Excel) to prepare for analysis.
• Database Integration: Structure data into graph databases like Neo4j and optimise relational, vector, and data lake systems.
• Programming: Develop efficient tools and scripts primarily in Python, with the potential to use TypeScript and React for Front End.
• Cloud Solutions: Implement scalable solutions using AWS services.
• Team Collaboration: Work closely with a lead developer and key stakeholders to deliver impactful solutions.
• Documentation: Use Jira and Confluence for task tracking and knowledge sharing.

More Info:

• Location: Sydney
• Type: Full-time internship of 5 days per week
• Duration: 6 months
• Work Arrangement: hybrid
• Start Date: ASAP
• Allowance: monthly allowance will be provided to support some expenses during internship

Requirements

About You:

• Currently studying or recently graduated in Computer Science, Data Science, or a related field.
• Proficient in Python (mandatory) and familiarity with TypeScript (optional).
• Experience with data preprocessing, particularly handling large unstructured datasets.
• Knowledge of NLP techniques is a plus.
• Familiarity with AWS cloud services.
• Strong understanding of database systems, especially graph databases like Neo4j.
• Excellent communication and teamwork skills.
• Highly detail-oriented and proactive.
• Adaptable to a dynamic startup environment.