About the Company
Telstra is Australia’s leading telecommunications and technology company, offering a wide range of services including mobile, internet, entertainment, and business solutions. With a vast network infrastructure spanning the entire continent, Telstra connects millions of Australians and businesses, driving innovation in areas from connectivity to data analytics. Our presence in Alice Springs is vital for connecting remote communities and supporting local businesses and residents.
Job Description
We are seeking an enthusiastic and proactive Data Science Intern to join our innovative team in Alice Springs for a Machine Learning & Python Placement. This is an incredible opportunity for aspiring data scientists to gain hands-on experience with real-world data challenges within a leading telecommunications company. You will work alongside experienced data scientists and engineers, contributing to projects that leverage data to improve network performance, customer experience, and operational efficiency. This internship is designed to provide comprehensive training and mentorship, helping you develop practical skills in machine learning, data manipulation, and programming with Python. If you are passionate about data, eager to learn, and ready to make a tangible impact, we encourage you to apply.
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large datasets for analysis.
- Support the development and implementation of machine learning models using Python.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Collaborate with senior data scientists on various projects, contributing to model design and evaluation.
- Write and maintain clear, well-documented Python code for data processing and analysis.
- Prepare and present findings to the team in an understandable format.
- Participate in team meetings and contribute to brainstorming sessions for data-driven solutions.
- Learn and apply best practices in data science, software development, and MLOps.
Required Skills
- Foundational knowledge of Python programming, including libraries like Pandas, NumPy.
- Basic understanding of machine learning concepts and algorithms.
- Familiarity with data manipulation and analysis techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Currently enrolled in or recently graduated from a degree program in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Preferred Qualifications
- Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Basic knowledge of SQL for database querying.
- Familiarity with data visualization tools and libraries (e.g., Matplotlib, Seaborn).
- Completed relevant coursework in statistics, probability, linear algebra, and calculus.
- Demonstrated personal projects or academic work involving data analysis or machine learning.
Perks & Benefits
- Opportunity to work on real-world data science problems with a large dataset.
- Mentorship from experienced data scientists and engineers.
- Exposure to industry-leading tools and technologies.
- Flexible working hours to accommodate academic schedules.
- Potential for conversion to a full-time role upon successful completion of the internship.
- A collaborative and supportive team environment.
- Access to internal training resources and development programs.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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