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Data Science Engineer Intern for Australian LegalTech Innovation

4 weeks ago

Sydney, New South Wales, Australia INAUTALENT Full time

About INAUTALENT:

We are a pioneering legaltech company founded in 2023, dedicated to revolutionizing the legal and financial industries by empowering law firms and investors to make a positive impact on society.

Our mission is to harness the power of AI and data analytics to deliver unparalleled insights and precision in claims assessment.

This internship is an exciting 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 our 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 optimize 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.

**Compensation:** We offer a competitive salary of AUD $70,000 - $90,000 per annum, commensurate with experience, plus a monthly allowance to support some expenses during the internship.

**Benefits:**

  • Full-time internship of 5 days per week.
  • Duration: 6 months.
  • Hybrid work arrangement.
  • Opportunity to work with a talented team and contribute to meaningful projects.

**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.