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

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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.

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 practicesAdvanced 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:

Roles and ResponsibilitiesDesign, 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.Help evolve Sales Excellence tools and champion the use of advanced analytics and AI capabilities by leadership and account teams.Manage the full model lifecycle

from development and validation through to deployment, monitoring, and continuous improvement in cloud environments.

Qualification;Any Graduation