About Us

Future Secure AI is a tech company that is jointly developed with one of the world's largest financial institutions. Operating as an agile startup with deep relationships at C-suite with large global enterprises, we believe humans and AI agents will work together and give everyone the ability to get 10x performance. Future Secure AI has multiple partnerships with leading companies in multiple industries and regions globally. We are growing rapidly and on an extraordinary journey of transforming the world with the most leading-edge artificial intelligence.

The Opportunity

The Staff Data Scientist will play a crucial part in our state-of-the-art advanced analytics practices. You will join a team that fosters a strong culture of excellence and learning. In this role, you will apply statistical modelling, machine learning, and analysis to build LLMs that solve real-world problems. You will unlock an array of different applications of AI and bring about positive change that could define society. Not only do you have an impressive technical background, importantly, you shine for your soft skills which is shown through your clever ability to collaborate with teams and drive valuable insights. You are highly conscientious, and you have the grit to find solutions and work through complex challenges.

Key Responsibilities:

• Develop and deploy machine learning models that will have a profound impact on our product(s) and end users
• Analyze large datasets to identify trends and patterns
• Work across a range of use cases to improve the quality of LLM output chains
• Plan and implement MLOps including benchmark monitoring for quality assurance and compliance
• Provide strategic input for long-term data initiatives, including data governance and ethical AI practices
• Work closely with engineers and stakeholders to implement innovative solutions
• Mentor junior data scientists

Requirements

As a Staff/Senior Data Scientist, you have robust experience managing structured and unstructured data, applying statistical techniques and reporting results.

To be successful you must demonstrate the following:

• Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science or related field AND 4+ years industry working experience
• Strong demonstrated history of data science experience and can concisely share examples of successful past projects
• Ideally, you bring commercial experience with NPL techniques (supervised NLP learning with LSTM/CNN/Transformers and/or topic modelling)
• Commercial experience with GPT (langchain, llamaindex, RAG, multi-agent framework)
• Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing
• Excellent communicator with stakeholders at all levels
• Empathetic, collaborative, open to feedback
• Able to read and keep abreast LLM related research
• Able to thrive in an agile environment
• A Masters/Doctorate in a relevant discipline is a plus
• Able to attend our beautiful Sydney CBD office 2 days a week

If you're passionate about working with state-of-the-art technology, alongside experienced world-class leadership, and joining truly some of the best talent in the industry, we'd love to hear from you!

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.