Job Title: Data Analyst/Data Scientist Intern Location: Melbourne (Office-Based) Employment Type: Internship Reports To: Head of Analytics Unpaid for three month About the Role: We are seeking a dedicated and analytical Data Analyst/Data Scientist Intern to join our host company. This internship offers an opportunity to work on real-world client data requests, transforming and categorizing large datasets while building AI-driven insights. As an intern, you will gain hands-on experience with data analytics tools and methodologies, working closely with experienced professionals in the field. Based on performance, there are chances to receive a long term offer. Key Responsibilities: Data Querying & Analysis: Write SQL queries to extract and manipulate data, transform datasets using Python, and apply machine learning techniques to derive deeper insights. Dashboarding & Reporting: Assist in creating visualizations using Tableau or Power BI to highlight procurement trends and identify anomalies. Data Quality & Troubleshooting: Support the identification and resolution of data errors, ensuring accuracy and maintaining quality control over deliverables. AI & Automation: Collaborate on projects that leverage RestAPI (OpenAI GPT), large language models (LLMs), and AI agents to enhance data transformation processes and predictive analytics. Client Engagement: Participate in client meetings and progress updates, contributing to discussions with clear, actionable insights tailored for non-technical audiences. What We Are Looking For: We are looking for someone who thrives in a dynamic environment, applies critical thinking, and enjoys problem-solving through innovative data analytics approaches. Required Skills & Experience: Technical Proficiency: Proficient in SQL (MS SQL) for data querying and extraction. Familiar with Python for data transformation, automation, and advanced analytics. Understanding of machine learning techniques, including clustering, time-series forecasting, and predictive analytics. Experience with Tableau (preferred) or Power BI for data visualization. Familiarity with RestAPI, especially for integrating OpenAI GPT and AI-driven solutions. Knowledge of large language models (LLMs) and AI agents is a plus. Analytical & Problem-Solving Skills: Strong ability to interpret complex datasets and translate findings into clear, actionable insights. Detail-oriented with a focus on data quality control. Proactive mindset to troubleshoot, identify gaps, and optimize processes. Communication & Stakeholder Engagement: Excellent communication skills, with the ability to convey technical insights to non-technical stakeholders. Comfortable in a client-facing role, engaging in meetings, reporting, and maintaining client relationships. Strong collaboration skills to work effectively within the team and across different functions.
