About Company
Commonwealth Bank of Australia (CBA) is Australia’s largest bank, providing a full range of financial services to over 17 million customers. We are a leading force in innovation, leveraging cutting-edge technology and data science to deliver exceptional customer experiences and drive impactful business outcomes. Our commitment extends beyond banking – we invest heavily in our people, fostering a culture of learning, collaboration, and diversity, where every individual can thrive and make a difference. At CBA, you’ll be part of a team that shapes the future of finance, powered by data.
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Job Description
Are you a recent graduate or an early-career professional with a burning passion for data, analytics, and solving complex problems that genuinely impact people’s lives? Commonwealth Bank (CBA) is seeking an enthusiastic and talented Entry Level Data Scientist to join our innovative and dynamic team in Sydney. This is an incredible opportunity to kickstart your career within Australia’s largest financial services institution, where you’ll be empowered to learn, grow, and make a tangible impact from day one on projects that serve millions of Australians.
At CBA, we firmly believe in the transformative power of data to enhance lives and optimize businesses. Our Data Science teams are at the forefront of leveraging cutting-edge machine learning techniques, advanced statistical modeling, and sophisticated analytical tools to deliver exceptional customer experiences, optimize business operations, manage risk proactively, and drive strategic decision-decision-making across every facet of the bank. As an Entry Level Data Scientist, you won’t just be crunching numbers; you’ll be an integral part of a team contributing to meaningful projects that directly touch and improve the financial well-being of millions of Australians.
You will work alongside highly experienced Data Scientists, Machine Learning Engineers, and Business Analysts, gaining invaluable hands-on experience in a supportive, collaborative, and fast-paced environment. Your journey with us will involve diving deep into vast, complex datasets, identifying intricate patterns, developing robust predictive models, and translating sophisticated analyses into clear, actionable insights that influence critical business outcomes. We’re specifically looking for individuals who are intellectually curious, exceptionally eager to learn new technologies and methodologies, possess strong analytical and problem-solving foundations, and are excited to apply their academic knowledge and theoretical understanding to real-world, high-stakes challenges.
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This role is meticulously designed to provide comprehensive mentorship, structured learning pathways, and continuous professional development opportunities to help you rapidly evolve into a highly skilled data professional. You’ll be exposed to a diverse range of projects across various critical business units, from personal and retail banking and wealth management to institutional banking and enterprise services. Whether it’s enhancing our state-of-the-art fraud detection systems, personalizing customer offers with unprecedented accuracy, optimizing our branch networks for efficiency, or developing new financial products, your analytical contributions will be absolutely vital to our success.
We foster a vibrant culture of innovation, continuous learning, and inclusivity, where every voice is heard and valued. We actively encourage our team members to explore new ideas, experiment with emerging technologies, and push the boundaries of what’s possible with data science. If you’re deeply passionate about data, possess a solid grasp of statistical principles, and are proficient in programming languages commonly used in data science, we strongly encourage you to apply and embark on this exciting journey with us. Join Commonwealth Bank and help us shape the future of banking through data-driven insights and innovation.
Key Responsibilities
- Assist in the collection, cleaning, and pre-processing of large, complex datasets for analysis.
- Develop and implement basic statistical models and machine learning algorithms under supervision.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Create clear visualizations and reports to communicate findings to technical and non-technical stakeholders.
- Collaborate with senior data scientists and other team members on various data-driven projects.
- Participate in the deployment and monitoring of models in production environments.
- Continuously learn new data science techniques, tools, and best practices.
Required Skills
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Solid understanding of statistical concepts and their application.
- Experience with SQL for data extraction and manipulation.
- Strong problem-solving abilities and analytical thinking.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark).
- Experience with version control systems (e.g., Git).
- Completion of relevant data science projects or internships.
- Knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness programs.
- Generous superannuation contributions.
- Flexible work arrangements and work-life balance initiatives.
- Extensive learning and development opportunities, including mentorship programs.
- Employee discounts on banking products and services.
- Vibrant and inclusive workplace culture.
How to Apply
Please click on the application link below to submit your resume and cover letter. Tell us why you are passionate about data science and how your skills and aspirations align with our mission at Commonwealth Bank.
