Data Scientist (Early Career)

About Syncrowin Syncrowin is a high-growth industrial AI company backed by leading organisations globally. We are building an advanced industrial intelligence system to transform how asset-intensive industries operate. Our mission is to fundamentally improve efficiency, reliability, and sustainability across heavy industries. By combining AI with real-world operational data, we enable organisations to solve complex, high-impact problems at scale. About the Role We are seeking a Data Scientist to join our team. This is a role focused on working with real-world industrial and energy data. You will work on understanding systems through data and contributing to models that improve how those systems operate. You will be working with data that is messy, incomplete, and tied to real processes. This role is suited for someone who is curious, hands-on, and willing to learn quickly. Key Responsibilities Analyse time-series and operational data Build and evaluate machine learning models Work with engineers to translate insights into usable systems Clean and structure real-world datasets Support development and validation of AI systems Required Experience Strong foundation in statistics or machine learning Proficiency in Python and data analysis tools Experience working with datasets through projects or coursework Ability to think clearly about data and problems Strong problem-solving skills Preferred Experience Experience with time-series data or forecasting Exposure to real-world datasets Understanding of machine learning workflows Projects that show end-to-end problem solving Why This Role Matters This role gives you exposure to real systems and real constraints. You will build a strong foundation in applied AI by working on problems that matter. Why Join Syncrowin Work on meaningful problems from the start Learn directly from experienced engineers Exposure to production systems Fast learning environment Location Melbourne · Sydney · San Francisco. On-site presence is required, with occasional travel to industrial sites. Perks and Benefits Competitive compensation ESOP opportunity Close collaboration with founders Small, focused team