• Mentoring programs – receive support and coaching to progress your career.
• Option to purchase 12 weeks of annual leave each year
• 18 weeks paid parental leave + 12 months return to work support (work 4 days and get paid 5) 

Deloitte’s Analytics & AI practice is a diverse team comprised of experts across strategy, insight advisory, data engineering, data science and automation. 

What will your typical day look like?  

• AI Project Execution & Delivery – Lead and manage AI projects, ensuring timely and high-quality delivery of solutions. Oversee technical development, model deployment, and AI system integration.
• Client Engagement & Relationship Management – Act as the primary client contact for projects, ensuring alignment with business needs. Support Senior Managers in expanding client relationships.
• Team Leadership & Development – Manage and mentor AI professionals within project teams, fostering a collaborative and innovative culture.
• AI Innovation & Best Practices – Contribute to the development of cutting-edge AI methodologies and ensure adherence to industry best practices.
• Business Development Support – Assist Senior Managers in identifying business opportunities, developing proposals, and contributing to Deloitte’s AI thought leadership..

About the team

Deloitte Canberra predominantly focuses on the Defence Sector, Federal Government and the various Intelligence Communities and local private enterprises. You could be helping the military prepare their workforce for the next national emergency (conflict, bushfire, pandemic), delivering projects impacting Australian society, influencing public policy, redesigning the way the Australian Space Agency uses collective intelligence to solve issues at the national level, or be involved in developing competencies you can’t talk about, for secret organisations you’ve never heard of. The projects we work on in Canberra have a lasting impact on the health, economy, defence and security of Australia

We have a dedicated focus on solving business problems for our clients.  Our services range from helping clients understand the potential of Analytics & AI through to designing and implementing solutions.  We constantly evaluate new technologies, experiment with new techniques and create leading-edge data and analytics assets that can be used by our clients and practitioners to drive success with Analytics & AI.

You will be part of a close, collaborative team that identifies and builds solutions that are practical as well as visionary, and that make an impact that matters 

Enough about us, let’s talk about you.  

We’re looking for candidates with a combination of the following:  

• At least 6 years’ experience data engineering, feature engineering and/or model development using advanced statistical and machine learning techniques
• Experience leading and developing technical teams
• Demonstrated ability to delivercomplex Data and AI projects
• Experience working with one or more AI, ML or other advanced analytics framework (such as scikit-learn, tensorflow, Keras, openCV, spaCy)
• Demonstrable experience of one or more relevant programming languages e.g. Python, R, Julia
• Data Engineering, Software Engineering, Data Governance, Cloud Computing (AWS, Azure, GCP) and project management skills will be highly desirable
• Experience with cloud services (Amazon Web Services, Microsoft Azure or Google Cloud Platform).
• Experience of different project life cycles and delivery methodologies (waterfall, scrum, agile)
• Demonstrable experience working in a consulting environment or managing non-technical stakeholders
• Government (ideally Federal Government and Defence) experience will be highly regarded
• Bachelor or MS degree in Mathematics, Statistics, Engineering or similar quantitative disciplines.
• Australian Citizenship required
• Federal Government security clearance is highly desirable.

Qualifications

• Educational Background – Bachelor's or Master's degree in Computer Science, Data Science, AI, Engineering, or a related field. Relevant certifications (AI, cloud, project management) are beneficial.
• Technical Expertise – Proficiency in Python, R, or similar languages, experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and familiarity with cloud platforms (AWS, Azure, GCP).
• Client & Communication Skills – Strong ability to translate technical AI concepts into business insights and communicate with stakeholders at various levels.
• Project & Team Management – Proven track record of leading AI project teams, managing timelines, budgets, and risks. Experience in Agile methodologies is a plus.
• Professional Experience: Minimum of 7 years' experience in advanced data and analytics environments, including leadership roles and client-facing positions. Proven track record in managing and delivering AI projects across various industries.