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Senior Consultant - Data Science

Negotiable Salary

Infosys Singapore & Australia

Sydney NSW, Australia

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Description

Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs. We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value. A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation.To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com Role: Senior Data Scientist - Senior Consultant Location: Sydney/ Melbourne Open for Permanent or 12 months Fixed Term contract. Requirements Key Responsibilities: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Utilize Python for data analysis, model development, and implementation. Apply deep learning techniques for advanced predictive analytics and insights. Implement ML Ops best practices to ensure scalable, reliable, and efficient deployment of machine learning models. Collaborate with data engineers, analysts, and other stakeholders to gather requirements and deliver actionable insights. Monitor and maintain deployed models to ensure performance and accuracy over time. Conduct exploratory data analysis and visualize findings to communicate results effectively. Stay updated with the latest advancements in machine learning, deep learning, and ML Ops to continuously improve processes and models. Document methodologies, processes, and model performance for transparency and reproducibility. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Scientist, Machine Learning Engineer, or a similar role. Strong proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with ML Ops tools and frameworks (e.g., MLflow, Kubeflow, Docker, Kubernetes). Solid understanding of deep learning architectures and frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Strong problem-solving skills and the ability to work with complex datasets. Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. Experience with version control systems (e.g., Git) and collaborative development workflows. Preferred Qualifications: Experience in the financial services, telco or retail domains. Familiarity with big data technologies (e.g., Hadoop, Spark). Experience with natural language processing (NLP) and computer vision applications. - Knowledge of statistical analysis and data visualization tools (e.g., R, Tableau, Power BI). Benefits We offer you great opportunities within a dynamically growing consulting organization. You will elaborate and deliver best practice solutions and will be able to further develop your skills. At Infosys Consulting you will discover a truly global culture that embraces diversity at all levels, working with highly dedicated and motivated colleagues, a cooperative work environment and interesting training opportunities.

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Location
Sydney NSW, Australia
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