Job Description

Skill required: Insight Engine - Analytics Insights
Designation: Analytics and Modeling Analyst
Qualifications: Any Graduation
Years of Experience: 3 to 5 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at
What would you do? We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsoft’s AI/ML ecosystem is a strong advantage.
What are we looking for? Preferred (Strong Advantage): • Hands-on experience with Azure Machine Learning Studio and Automated ML. • Familiarity with Azure Cognitive Services for vision, language, and decision tasks. • Experience working with Microsoft Fabric and Synapse ML integration. Qualifications: • Bachelor s or Master’s degree in Computer Science, Data Science, Engineering, or related field. • 2–3 years of experience in applied machine learning and data science projects. • Solid understanding of model training, validation, and deployment workflows. • Experience working with version control (e.g., Git) and collaborative development environments. Nice to Have: • Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines). • Basic understanding of cloud-based architecture and APIs.
Roles and Responsibilities: • Develop and implement machine learning models using supervised and unsupervised techniques. • Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs. • Perform data preprocessing, feature engineering, and model evaluation. • Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models. • Analyse and manipulate structured datasets using notebooks (e.g., Jupyter). • Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions. • Document model performance, data flows, and process pipelines.

Any Graduation

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

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