Line of Service Advisory Industry/Sector Not Applicable Specialism Actuarial Services Management Level Senior Associate Job Description & Summary At PwC Australia, your expertise can shape better outcomes for communities, businesses, and the people who rely on them. Our Data & AI team is expanding and we’re looking for a Data Scientist to join our vast community of solvers. By joining PwC's Data & AI team, you'll play a vital role in designing, constructing, and deploying production-grade AI solutions. Working with clients across various industries, you will engage in hands-on work with complex and diverse datasets, developing, implementing, and optimising sophisticated models and algorithms. While your primary focus will be on data science and machine learning, your work may also extend to AI and Generative AI, offering unique challenges and opportunities for cutting-edge learning. Why PwC? At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health—giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential. Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future. What you’ll do: Develop and optimise predictive and prescriptive models using machine learning and AI techniques to address specific business problems. Support data quality and integrity through best practices in data cleaning and preprocessing. Conduct exploratory data analysis to uncover insights and patterns, supporting decision-making processes. Collaborate with team members to design data-driven solutions and present findings to non-technical stakeholders. What we’re looking for: Experience: 2 years of experience in data science, with a proven track record of delivering data-driven solutions in a business environment. Analytical Skills: Strong problem-solving abilities and a keen analytical mindset. Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders. Team Player: Ability to work collaboratively in a team-oriented environment. Technical skills : Proficiency in programming languages such as Python, R, or Scala. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in data manipulation and analysis using SQL and data visualization tools (e.g., Tableau, Power BI). Hands-on experience with data science services in Cloud platforms (AWS, Azure, GCP). Ability to implement MLOps using common frameworks such as MLflow. What you’ll gain: A supportive, inclusive culture where your ideas and perspective are welcomed from day one. Access to tailored learning programs designed to develop your skills and unlock your potential. Four weeks of annual leave plus floating public holidays & birthday leave giving you the space to rest and recharge. Health and lifestyle perks, including wellness benefits and discounted memberships to support your wellbeing from the start. Free barista made morning coffee and tea. We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here. Ready to grow here and go further? Join PwC Australia as a Data Scientist and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future. We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role. No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning { 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date