Data Science Engineer Intern for an Australian LegalTech Platform
About the Company:
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 Intern , 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. This role has a high potential for full-time opportunity.
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.
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.
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