Data & AI Senior Consultant (AI)

TL;DR

Data & AI Senior Consultant (AI/Data Engineering): Delivering data-driven transformation and scalable AI solutions for clients with an accent on data pipeline optimization and AI model implementation. Focus on building efficient ETLs, developing advanced analytics dashboards, and integrating machine learning models into business processes.

Location: Must be based in Perth, Australia (225 St Georges Terrace)

Company

hirify.global is a next-generation, global management consulting group specializing in digital strategy, data science, and business transformation.

What you will do

• Translate business requirements into functional data designs and models to optimize value.
• Build and maintain scalable data pipelines and ETLs using Azure, Snowflake, AWS, or Oracle.
• Develop visual reports and analytics dashboards via Power BI, Tableau, QuickSight, or Oracle Analytics Cloud.
• Implement machine learning and AI models, including predictive analytics and supervised/unsupervised learning.
• Apply data governance principles including data quality, master data management, and metadata management.
• Support business development initiatives and mentor junior consultants within the Data & AI practice.

Requirements

• Bachelor’s or Master’s degree in Data Science, AI, Computer Science, Engineering, or a related field.
• Proven experience in Data, AI, or Analytics consulting within professional services or technology firms.
• Strong foundation in AI and cloud technologies (Azure, AWS, Snowflake, or Oracle).
• Proficiency in SQL and Python for AI, automation, and data modeling.
• Excellent analytical, communication, and stakeholder engagement skills.
• Location: Must be based in Perth, Australia.

Nice to have

• Experience with CI/CD pipelines and deployment automation, preferably using Azure DevOps.
• Experience using JIRA and Confluence for agile project delivery.

Culture & Benefits

• Hands-on experience with cutting-edge AI and data solutions in a global network across 19 countries.
• Supportive culture that values learning, innovation, and professional well-being.
• Flexible working arrangements and company-sponsored networking events.
• Opportunity to drive sustainable transformation using technology ethically.