About Cognizant ConsultingCognizant Consulting is more than Cognizant's consulting practice - we're a global community of 5,000+ experts dedicated to helping clients reimagine their business.
Blending deep industry expertise with technology advisory capabilities, we partner with organisations to deliver innovative, outcome-led solutions for some of the world's leading enterprises.
About the roleAs a Data Science Consultant, you will make an impact by designing, building and deploying advanced AI, machine learning and generative AI solutions that solve complex business problems.
You will be a valued member of Cognizant Consulting's AI & Data practice, working collaboratively with clients, fellow consultants, data engineers, and generative AI engineers across global delivery teams.
In this role, you will: Design, build and optimise machine learning and AI models to deliver measurable business outcomes across client engagements.
Analyse, explore and transform complex datasets, applying statistical techniques, feature engineering and hypothesis-driven insights.
Develop, test and evaluate ML models using appropriate metrics, validation techniques and responsible AI practices.
Build and operationalise scalable ML pipelines using cloud-native and MLOps frameworks.
Collaborate with generative AI engineers to integrate traditional ML models with LLM-based solutions, including RAG architectures.
Work modelWe believe hybrid work is the way forward as we strive to provide flexibility wherever possible.
Based on this role's business requirements,



this is a hybrid position requiring 3 days a week in a client or Cognizant office in Melbourne, VIC.
Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you must have to be considered Significant experience delivering data science and machine learning solutions within a consulting or professional services setting.
Strong proficiency in R, Python and modern ML frameworks (for example scikit-learn, PyTorch or TensorFlow).
Experience designing, training and evaluating supervised and unsupervised machine learning models.
Hands-on experience with cloud platforms (Azure and/or AWS), including ML services and data platforms.
Strong communication skills with the ability to engage both technical and non-technical stakeholders.
These will help you succeed Experience with generative AI concepts, including large language models, prompt engineering and RAG patterns.
Exposure to MLOps practices such as CI/CD, ML pipelines, model monitoring and governance.
Knowledge of responsible AI practices including model explainability, fairness and drift monitoring.
Consulting experience supporting pre-sales activities, solution design and client advisory engagements.
A collaborative mindset, comfort working in ambiguity, and a strong focus on client outcomes.
We're excited to meet people who share our mission and can make an impact in a variety of ways.
Don't hesitate to apply, even if you meet only the minimum requirements.
Your transferable skills and unique experiences matter - and they may be exactly what this role needs.

📌 Data Science Consultant (Melbourne)
🏢 Cognizant
📍 Melbourne