Principal Data Scientist (2 positions available)

Job description

This is a rare and exciting opportunity for 2 Principal Data Scientists to join a Global Tech Company to help build their Australian Centre of Excellence and be part of a global team of almost 1.000 IT professionals (40 Data Scientists). The company is Adelaide based, but they are open to receiving applications from top talent all over Australia.

The Platforms team of the Data Science Group builds scalable AI to aid in conversational AI, agent assist solutions, and ad personalization for the Cloud. We are looking for a highly motivated and qualified data scientist to lead some of our AI initiatives. This role is ideal for candidates with strong, hands-on skills in machine learning and natural language processing.

Educational Qualifications:

Bachelors, Master's or PhD degree from reputed universities or institutes in one of the following disciplines:

  • Artificial Intelligence / Machine Learning
  • Cognitive Computing
  • Computational Linguistics
  • Computer Science
  • Data Science


  • 10+ years of hands-on experience in machine learning
  • 10+ years of experience with general purpose programming languages e.g., Python, C/C++, Java
  • 4+ years of experience leading multiple machine learning projects simultaneously
  • Experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
  • Experience building and deploying machine learning models on the Cloud (Google Cloud, Azure, AWS)
  • Experience in solving problems related to Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
  • Extensive experience in various deep learning models, e.g., transformers, LSTMs, RNNs
  • Experience with production architecture of machine learning systems
  • Experience leading and mentoring a team of data scientists
  • Nice to have exposure to conversational AI, AI-based question-answering systems, and AI-based compliance and monitoring systems
  • Nice to have exposure to MLOps pipelines and Kubeflow
  • Excellent communication skills
  • Ability to collaborate cross-functionally
  • Good presentation skills
  • Attention to detail


  • Define and build AI models into the products and offerings by collaborating with the Engineering and Product teams
  • Lead the development of machine learning models and their production architecture
  • Review and refine your work through collaboration within the Data Science Group to
  • Lead and own the AI initiatives end to end for at least 2-3 products
  • Lead and mentor a team of data scientists, and be responsible for their work allocation and tracking
  • Work with the data science leadership and product leadership to define the AI roadmap for the company

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