Data Scientist - Applied Science

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

The Opportunity

We're seeking a Data Scientist – Applied Science for our Platform team. You will join our dynamic team and significantly contribute to the evolution of our cutting-edge AI platform. This pivotal role will be instrumental in developing and applying advanced AI models, with a particular focus on enhancing the capabilities of our foundational LLM platform and leveraging it to solve complex, real-world challenges. You'll collaborate closely with engineers, researchers, and product leaders, shaping the direction of our AI platform and driving impactful applications across our partner ecosystem. This isn't just about building models; it's about architecting the future of intelligent systems.

Key Responsibilities:

• Platform Enhancement: Lead the design, development, and optimization of components and features within our LLM platform, ensuring scalability, reliability, and performance.
• Applied Science Research & Implementation: Translate research breakthroughs and cutting-edge techniques in NLP and generative AI into practical, impactful solutions for our clients and partners. This includes experimenting with novel architectures, training methodologies, and evaluation strategies.
• LLM Application Development: Drive the development and refinement of LLM output chains for a wide range of use cases, focusing on quality, accuracy, and user experience.
• MLOps & Governance: Champion MLOps best practices, including robust benchmark monitoring, automated testing, and continuous improvement pipelines. Contribute to the development and implementation of data governance and ethical AI policies.
• Technical Leadership: Provide technical guidance and mentorship to junior data scientists, fostering a culture of innovation and excellence.
• Strategic Influence: Contribute to the long-term technical roadmap for our AI platform and applied science initiatives, aligning with business objectives and emerging industry trends.
• Collaboration & Communication: Effectively communicate complex technical concepts to both technical and non-technical audiences, collaborating seamlessly with engineers, product managers, and stakeholders at all levels.

Requirements:

As a Data Scientist, you will possess a deep understanding of data science principles and a proven track record of delivering impactful results.

To be successful, you will demonstrate the following:

• Education & Experience: Relevant tertiary qualification (Doctorate or Master’s preferred) in Data Science, Mathematics, Statistics, Computer Science, or a related field and 6+ years of industry experience applying data science techniques to solve complex problems.
• Technical Expertise: A strong and demonstrable history of data science experience, with the ability to clearly articulate successful past projects and their impact.
• NLP & Generative AI Mastery: Commercial experience with NLP techniques (supervised NLP learning with LSTM/CNN/Transformers) and deep practical experience with Generative AI frameworks and tools (e.g., Langchain, LlamaIndex, RAG, Multi-Agent Frameworks, fine-tuning approaches).
• Programming & Data Skills: Advanced SQL and 3+ years’ experience programming in Python, including proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers).
• MLOps Understanding: Solid understanding of MLOps principles and experience with relevant tools and technologies.
• Communication & Collaboration: Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with diverse teams.
• Intellectual Curiosity: A proactive learner, able to read and critically evaluate current research in LLMs and related fields.
• Adaptability: Thrives in a fast-paced, agile environment and embraces ambiguity.

A Masters/Doctorate in a relevant discipline is highly desirable. 

If you are passionate about shaping the future of AI, driving innovation, and working alongside a world-class team, we encourage you to apply!

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.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.