AI/Data Internship

About Us
Welcome to STUDY AND WORK! We are the first talent recruitment agency in Australia to focus entirely on students and graduates, offering internships, traineeships, and graduate job placements. Our philosophy is "Hire for Attitude, Train for Skills," and we are dedicated to helping clients become productive while investing in the future workforce. Our compassionate and creative approach to talent recruitment aims to make a positive difference by facilitating connections that benefit all parties involved.

Role Overview
As an AI Intern, you will work closely with our data scientists and engineers to help analyze trends, identify anomalies, and automate the detection of outliers This internship is an excellent opportunity for someone passionate about AI, data analysis, and real-world applications of machine learning to develop valuable, marketable skills.

Key Responsibilities:

• Collaborate with data scientists to set up and configure the Outlier.ai platform for anomaly detection in client data.
• Analyze data trends, patterns, and outliers, providing actionable insights to improve business outcomes.
• Assist in the integration of Outlier.ai with existing data pipelines.
• Develop visualizations and reports based on findings for both technical and non-technical audiences.
• Participate in brainstorming sessions and contribute to the development of new AI-driven business solutions.
• Conduct research and stay updated on the latest in AI/ML technologies and Outlier.ai capabilities.

• Current enrollment in a degree program related to Computer Science, Data Science, Mathematics, Engineering, or a related field.
• Basic understanding of machine learning concepts and data analytics.
• Familiarity with anomaly detection techniques.
• Experience or knowledge of Outlier.ai (preferred but not mandatory-training will be provided).
• Proficiency in Python or R, and understanding of data analytics tools like Pandas, NumPy, etc.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

• Experience with data visualization tools such as Qlik, Tableau, or Power BI.
• Basic knowledge of SQL and cloud-based platforms like AWS, Azure, or Google Cloud.
• Knowledge of data cleaning, transformation, and automation processes.
• Exposure to other AI/ML platforms or frameworks such as TensorFlow or Scikit-learn.

• Hands-on experience with real-world AI applications.
• Mentorship from experienced professionals in the data analytics and AI fields.
• Opportunities to work on high-impact projects for government and private sector clients.
• Flexible working hours and a collaborative team environment.
• Potential for a full-time position upon successful completion of the internship.