DESCRIPTION:

Job Requisition ID: 36990
Senior Consultant AI&Data
Learn from the best in the business
Mentoring programs – receive support and coaching to progress your career
Choice and flexibility on where, when and how you work
Are you excited by the potential of AI, machine learning, and big data to transform businesses? Do you thrive in solving complex problems with innovative technology?
What will your typical day look like?
As a Senior Consultant, you’ll combine technical expertise, problem-solving, and client collaboration to deliver high-quality AI & Data solutions. Your responsibilities will include:
Designing & Delivering AI & Data Solutions – Develop data models, analytics pipelines, AI/ML models, and cloud-based solutions that drive business value.
Client Collaboration – Work closely with business stakeholders to understand challenges and translate them into technical solutions.
Technical Problem-Solving – Apply Python, SQL, cloud technologies (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI) to solve real-world problems.
Data Engineering & Architecture – Help build and optimize scalable data platforms using Databricks, Snowflake, and modern data stacks.
Supporting Agile Project Delivery – Work in Agile teams to develop, test, and deploy data solutions efficiently.
Mentoring & Knowledge Sharing – Support junior consultants in developing technical and consulting skills.
Staying Ahead of Trends – Keep up with the latest AI, ML, and data engineering advancements and contribute to Deloitte’s innovation initiatives.
About the team: Our AI & Data team is a diverse group of over 500 specialists across Australia, partnering with clients in both public and private sectors to deliver cutting-edge solutions. We collaborate with leading technology providers such as AWS, Microsoft, Google, Snowflake, and Databricks, ensuring we stay at the forefront of emerging AI and data capabilities.
Enough about us, let’s talk about you.
You are a tech-savvy problem solver who thrives in a data-driven environment. You bring:
3–5 years of experience in data analytics, AI, or data engineering, with hands-on experience in solution development.
Proficiency in cloud services (AWS, Microsoft Azure, or Google Cloud Platform), SQL, Python, and data visualization tools like Tableau or Power BI.
Experience working with modern data platforms such as Databricks, Snowflake, and cloud-native AI/ML tools.
Strong analytical and problem-solving skills, with the ability to translate business challenges into data solutions.
Experience working in Agile environments, delivering projects collaboratively and iteratively.
A Bachelor’s or Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field.

Please refer the Job description for details