Lead Data Scientist

Adactin Group; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Adactin Group, a 100% Australian-owned IT consulting firm, invites a Lead Data Scientist in Melbourne to spearhead advanced AI/ML initiatives. You will drive end-to-end solutions from data ingestion to deployment, leveraging LLMs, RAG, and responsible AI practices to deliver measurable business value.

The role emphasizes leadership, stakeholder collaboration and delivering innovative data-driven outcomes across complex datasets and operational domains.

Qualifications

• Strong data science and AI/ML expertise required.
• Hands-on experience designing and deploying AI/ML solutions.
• Experience with generative AI, LLMs, and RAG pipelines.
• Proficient data preparation, cleaning and feature engineering.
• Knowledge of model evaluation, governance and safety.

Responsibilities

• Lead AI/ML solution design aligned with business goals.
• Manage data acquisition, integration and feature engineering.
• Design and run proof-of-concept projects and evaluations.
• Develop generative AI solutions including LLMs and RAG pipelines.
• Establish evaluation frameworks for accuracy and outcomes.
• Oversee model deployment, monitoring and lifecycle improvements.
• Apply statistical methods to derive actionable insights.
• Uphold Responsible AI with bias checks and governance.
• Translate analytics to actionable business recommendations.
• Lead reviews, documentation and quality assurance.
• Provide technical leadership and resource planning.

Skills

Data science

AI/ML

Generative AI

LLMs

RAG

Prompt engineering

Agentic AI

Data modelling

Feature engineering

Model deployment

Job description

Adactin Group is a 100% Australian-owned global IT consulting company, headquartered in Sydney. We are a trusted technology partner helping organizations drive end-to-end digital transformation through our deep expertise in Microsoft and AWS ecosystems, AI-powered Digital Engineering, and future-ready Quality Assurance.

Our managed delivery approach, backed by domain expertise, ensures successful outcomes for every project. At Adactin, we believe in the power of our people. We foster a dynamic and supportive environment where your career can grow alongside exciting projects that shape the future of technology. Join us, and be part of a team committed to innovation, excellence, and making a difference.

Adactin Group is a 100% Australian-owned global IT consulting company, headquartered in Sydney. We are a trusted technology partner helping organizations drive end-to-end digital transformation through our deep expertise in Microsoft and AWS ecosystems, AI-powered Digital Engineering, and future-ready Quality Assurance.

Our managed delivery approach, backed by domain expertise, ensures successful outcomes for every project. At Adactin, we believe in the power of our people. We foster a dynamic and supportive environment where your career can grow alongside exciting projects that shape the future of technology. Join us, and be part of a team committed to innovation, excellence, and making a difference.

About the Role

We are seeking an experienced Lead Data Scientist to lead the design, development and implementation of advanced data science, artificial intelligence and machine learning solutions. The role involves working with structured and unstructured data to deliver actionable insights, optimise operational processes and support strategic decision-making.

The successful candidate will bring strong expertise in statistical modelling, g enerative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG) and end-to-end model lifecycle management.

Key Responsibilities

• Lead the design and implementation of AI and machine learning solutions aligned with business and operational objectives.
• Manage data acquisition, integration, transformation and feature engineering across complex datasets.
• Design and deliver proof-of-concept initiatives, model experimentation, validation and performance evaluation.
• Develop and optimise generative AI solutions, in cluding LLMs, RAG pipelines, prompt engineering and agentic AI workflows.
• Establish evaluation frameworks to assess model accuracy, performance, safety and business outcomes.
• Lead model deployment, integration, monitoring and continuous improvement across the model lifecycle.
• Apply statistical and machine learning techniques to identify trends, generate insights and solve complex business problems.
• Implement Responsible AI practices, including bias assessment, fairness, explainability, model assurance and governance.
• Engage with stakeholders to understand business requirements and translate analytical findings into actionable recommendations.
• Lead technical reviews, maintain solution documentation and ensure quality standards.
• Provide technical leadership, guide team members, set priorities and manage resources to achieve business outcomes.

Essential Skills and Experience

• Strong experience in data science, artificial intelligence, machine learning and statistical modelling.
• Hands-on expertise in designing, developing and optimising AI/ML solutions.
• Experience with generative AI, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering and agentic AI workflows.
• Strong knowledge of data preparation, cleaning, transformation, feature engineering and data modelling.
• Experience in AI model training, validation, evaluation, deployment and performance optimisation.
• Knowledge of Responsible AI principles, model governance, safety assessments and explainability.
• Ability to communicate complex technical concepts and insights to business stakeholders.
• Proven experience leading analytical projects, reviewing deliverables and guiding technical teams.

Technical Expertise

• Artificial Intelligence and Machine Learning
• Statistical Modelling and Advanced Analytics
• Generative AI and Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering and Agentic AI
• Data Modelling, Data Cleaning and Feature Engineering
• Model Evaluation, Monitoring and Optimisation
• Responsible AI, Model Assurance and Governance

Due to the nature of the role, candidates must be Australian citizens. A Baseline security clearance is desirable.

Feel free to contact ***email_hidden*** , to know more details about the role.