Analytics and Modeling Manager

Skill required: Business Intelligence - Reporting Analytics Designation: Analytics and Modeling Manager Qualifications:Any Graduation Years of Experience:13 to 18 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 784,000 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 www.accenture.com What would you do? "As a Level 7 Analytics & Modelling Manager, you will be a trusted advisor for leadership and enable them with business insights and AI-powered solutions to drive profitable sales growth. You will bring together data science expertise, GenAI capabilities, and customer engagement to deliver end-to-end analytical products.

" What are we looking for? "• Strong Python proficiency — including data manipulation (pandas, numpy), ML frameworks (scikit-learn, XGBoost, PyTorch or TensorFlow), and API/pipeline development.

• Hands-on experience designing and deploying AI agents and multi-agent systems
• Working knowledge of Generative AI — including LLM integration, prompt engineering, RAG architectures, and fine-tuning techniques.
• Cloud platform experience, preferably Google Cloud Platform (GCP: Vertex AI, BigQuery, Cloud Run), with equivalent experience on AWS or Azure also accepted.
• Experience with MLOps practices
• Advanced proficiency with Microsoft Excel and PowerPoint for executive-level communication.
• Proficiency with business analytics and data visualization tools such as Power BI, Tableau, or Qlik.

" Roles and Responsibilities: "• Design, build, and productionise machine learning models and GenAI-powered solutions that solve real business problems at scale.

• Architect and deploy AI agents and agentic pipelines that automate analytical workflows and surface actionable intelligence.
• Partner with Sales Excellence and internal clients to confirm business priorities, define success criteria, translate requirements into modelling briefs, and measure outcomes.
• Engage directly and independently with customers to understand their business challenges, frame analytical problem statements, and present solution approaches and results.