Job Description
About Cognizant Consulting
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nCognizant 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 creative, outcome-led solutions for some of the world's leading enterprises.n
About the role
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nAs 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.n
In this role, you will:
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Design, build and optimise machine learning and AI models to deliver measurable business outcomes across client engagements.
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Analyse, explore and transform complex datasets, applying statistical techniques, feature engineering and hypothesis-driven insights.
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Develop, test and evaluate ML models using appropriate metrics, validation techniques and responsible AI practices.
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Build and operationalise scalable ML pipelines using cloud-native and MLOps frameworks.
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Collaborate with generative AI engineers to integrate traditional ML models with LLM-based solutions, including RAG architectures.
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Work model
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nWe 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.n
What you must have to be considered
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Significant experience delivering data science and machine learning solutions within a consulting or professional services environment.
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Strong proficiency in R, Python and modern ML frameworks (for example scikit-learn, PyTorch or TensorFlow).
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Experience designing, training and evaluating supervised and unsupervised machine learning models.
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Hands-on experience with cloud platforms (Azure and/or AWS), including ML services and data platforms.
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Strong communication skills with the ability to engage both technical and non-technical stakeholders.
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These will help you succeed
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Experience with generative AI concepts, including large language models, prompt engineering and RAG patterns.
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Exposure to MLOps practices such as CI/CD, ML pipelines, model monitoring and governance.
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Knowledge of responsible AI practices including model explainability, fairness and drift monitoring.
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Consulting experience supporting pre-sales activities, solution design and client advisory engagements.
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A collaborative mindset, comfort working in ambiguity, and a strong focus on client outcomes.
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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