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Form of workNew Aim is Australia's largest and fastest-growing private ecommerce company. Since 2005, we've evolved from marketplace seller to ecommerce enabler, ranking among the 'Top 200 Private Companies' in Australia.
We’re reimagining the possibilities of ecommerce, introducing new technologies to democratise business ownership, and inspiring entirely new categories of business. It’s all possible because of our proprietary technology that improves procurement, supply chain management, multichannel integration, and price decisioning.
We partner with Australia’s most-loved household brands and online marketplaces including Bunnings, Myer, Woolworths, Catch, and MyDeal. Our channel coverage represents more than 60% of Australia’s total retail sales. Through our B2B retail marketplace, Dropshipzone, we’re creating an ecosystem that enables thousands of SMEs to start and scale with ecommerce.
If you're as excited about this as we are: join us! It’s a hell of a ride.
This internship is unpaid and starts from 15 April 2024 to 24 May 2024. You are expected to attend 5 days per week in our Head Office in Hawthorn East, VIC.
Please take a look at the description below for each intern position. Please specify which position you are applying for in your resume.
Position 1. Business Analyst Intern
Based on our values as a company, we look to support Interns with their studies and look for their input as Innovative and Data driven team members, with a positive outlook.
A new intern project is open, where you will work on a project that contributes to your studies to develop a user-friendly application that enables users to assess product competitiveness. This system will interface with and provide feedback to the "competitive product AI model," enhancing its accuracy and effectiveness.
Interns will gain invaluable experience in Agile team collaboration and SCRUM, working on a real-world project, and exposure to AI, modern technologies, and cloud platforms such as GCP and Azure.
Your learning journey will cover the following (but not limited to)
• Requirements gathering
• Understand problem that raised by Business
• Understand the scope of work that required to resolve the problem.
• Coordinate and facilitate with stakeholders to ensure meeting/workshop reached its objective, outcome, and document action items (if any).
• Participate and collaborate (if possible) in solution design to ensure solution is meeting requirements.
• Create relevant user stories from requirements and conduct necessary communication/workshop with development team (you will be working under supervision of a mentor)
• Involve/participate in functional testing.
What you will achieve at the end of Internship:
Ability to define work scope
Ability to derive requirement list
Ability to define a problem:
• What is the problem
• Why this is a problem
• How this is a problem
• When this problem first happened
• Where this problem first discovered.
Ability to write basic test cases.
Key Selection Criteria
Must:
• Fluent English – Written and Verbal
• Bachelor’s degree: IT, Business
• Strong multitasking skills
• Strong communication skills
• A good team player
Preferred:
• Some conceptual technical understanding would be beneficial but not essential.
• Has previously worked in an Agile team structure.
• Agile/Scrum training (online course, e.g., Udemy)
• Strong work organisation skill
• Ability to work in high demand environment.
• Ability to write test cases and document test results.
• Ability to write user stories and acceptance criteria.
• Ability to summarise and document observation and analysis findings in an effective manner
Relationships and Authorities
• Mentor: Lead Business Analyst
• Buddy: Business Analyst
Position 2. Data Engineer Intern
The purpose of the Intern Data Engineer position is to offer a unique and enriching opportunity for interns to immerse themselves in the world of data engineering within a dynamic e-commerce environment. This program is designed to enable interns to observe and learn firsthand about the intricacies of data pipeline management, the architecture of data platforms, and the nuances of data modeling. Interns will have the chance to engage with our team of experts, gaining insights into daily operations and best practices in data engineering. Additionally, the internship offers a special project opportunity, where interns can explore and learn how to build a new data platform on Google Cloud from the ground up. This hands-on experience is purely educational and aimed at providing interns with valuable learning experiences.
Key Steps & Milestones:
- Orientation and Training: Begin with a comprehensive orientation to understand the company's vision, values, and the role of technology within our operations. Initial training sessions will cover data engineering fundamentals, our technology stack, and an introduction to Google Cloud Platform.
- Observation Phase: Interns will shadow members of our data engineering team, observing daily tasks and processes such as data collection, pipeline construction, and maintenance. This phase is crucial for gaining real-world insight into the data engineer's role and responsibilities.
- Learning Project Assignment: Assign a project where interns will conceptualize and design a data platform on Google Cloud. This project allows interns to apply their learning in a practical scenario, starting from the planning phase to the design blueprint.
- Development Skills Workshop: Conduct workshops focusing on specific skills needed for data platform development, including Google Cloud services, database management, and data modeling techniques. These sessions aim to equip interns with the necessary tools and knowledge for their project.
- Project Development Phase: Interns will begin the practical application of their project, applying their learned skills to build a data platform. This phase includes drafting the architecture, selecting the appropriate Google Cloud services, and setting up a basic data pipeline.
- Review and Feedback Sessions: Regular review meetings will be held to discuss the project's progress, challenges encountered, and feedback from supervising engineers. These sessions are vital for iterative learning and adjustment of project goals as needed.
- Final Presentation: Culminate the internship with a final presentation where interns showcase their data platform project, detailing the design, challenges faced, and how they overcame them. This is an opportunity for interns to demonstrate their learning and for the team to provide constructive feedback.
Key Selection Criteria
Must:
• At least one year of work or internship experience in an IT-related field.
• Worked in a team with a group-maintained project.
• Experience with Azure and/or GCP cloud services.
• Excellent ANSI SQL and/or Python and/or Linux skills.
• In-depth knowledge and understanding of RDBMS (e.g., MySQL, SQL Server).
• Strong understanding of data modelling, data structures, and ETL/ELT processes.
• Strong understanding of BI data structures and how to optimise data delivery for BI Reporting tools (e.g., Power BI).
• Fluent English – Written and Verbal
• Bachelor's or higher degree in IT-related major.
Preferred:
• Bachelor's or higher degree in Computer Science, Information Technology, or Data Science
• Experience with data transformation tools (e.g., DBT).
• Experience with crawlers like scrapy.
• Experience with data warehouses like Databricks, BigQuery.
• Experience with DevOps tools (e.g., BitBucket, Jira, Docker).
• Worked in an Agile team
Relationships and Authorities
Mentor: Data Platform Tech Lead
Buddy: Data Engineer
Position 3. Data Scientist Intern
The Intern Data Scientist position is structured to provide an immersive learning experience in the rapidly evolving field of data science, with a specific focus on the development and application of machine learning models. This internship aims to bridge the gap between academic knowledge and practical skills, offering interns the opportunity to learn directly from seasoned professionals in a real-world e-commerce context. Interns will engage in a structured program designed to introduce them to various stages of machine learning model development, including data preprocessing, feature engineering, model selection, training, evaluation, and refinement. Throughout the program, interns will be encouraged to apply theoretical concepts to practical challenges, gaining hands-on experience with data analysis, statistical methods, and machine learning algorithms. This purposefully educational environment is crafted to foster growth and learning without the expectation of the intern contributing to the company's active projects, aligning with legal standards for unpaid internships. The ultimate goal is to equip interns with a solid foundation in data science that they can build upon in their future careers, while ensuring a comprehensive understanding of the responsibilities and skills of a Data Scientist.
Key Steps & Milestones:
1. Introduction to Data Science at Our Company: Begin the internship with an orientation session focused on the role of data science within our company, highlighting ongoing projects and the impact of data science on decision-making processes.
2. Foundational Training: Engage in a series of workshops and seminars designed to cover essential data science concepts, including statistical analysis, machine learning theory, and an overview of tools and technologies used in the field.
3. Data Exploration and Cleaning: Learn the importance of data quality and how to prepare data for analysis. Interns will practice identifying and correcting issues in data sets, such as missing values and outliers, and learn techniques for data normalization and transformation.
4. Feature Engineering and Data Visualization: Gain hands-on experience in creating meaningful features from raw data and using visualization tools to explore and present data insights. This step is crucial for understanding the data's underlying patterns and relationships.
5. Model Optimization and Evaluation: Learn advanced techniques for improving model performance, such as hyperparameter tuning and cross-validation. Interns will also explore different metrics for evaluating model accuracy, precision, recall, and other relevant performance indicators.
6. Presentation of Findings: Prepare a final presentation to showcase the project's methodology, challenges faced, and the solutions implemented. This presentation is an opportunity for interns to demonstrate their learning and for the team to provide constructive feedback.
Key Selection Criteria
Must:
• At least one year of work or internship experience in an IT-related field.
• Worked in a team with a group-maintained project.
• Fundamental Knowledge: Strong understanding of statistics, probability, and basic machine learning concepts.
• Programming Proficiency: Ability to code in Python, including familiarity with data science libraries such as Pandas, NumPy, and scikit-learn.
• Analytical Thinking: Capacity to think critically and solve problems using data-driven approaches.
• Communication Skills: Effective verbal and written communication abilities to articulate findings and insights.
• Fluent English – Written and Verbal
• Bachelor's or higher degree in IT-related major.
Preferred:
• Bachelor's or higher degree in Computer Science, Information Technology, or Data Science
• Worked in an Agile team
• Experience with Data Visualization Tools: Knowledge of visualization libraries or tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with Advanced Machine Learning: Exposure to more complex machine learning techniques and algorithms.
• Understanding of Data Management: Basic knowledge of SQL and experience with handling large datasets.
• Collaborative Experience: Prior experience working on projects in a team environment, demonstrating teamwork and adaptability.
Relationships and Authorities
Mentor: Data Scientist
Buddy: Data Engineer
To be eligible for an Internship employment with New Aim, candidate must be in Australia on a visa with work rights or be an Australian/New Zealand citizen or permanent resident.
