Data Scientist-Advanced Analytics

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role and Responsibilities Develop and deploy machine learning, deep learning, and generative AI solutions. Design and implement agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar platforms. Build and orchestrate multi-agent workflows, integrating AI agents with enterprise applications, APIs, and data sources. Develop RAG (Retrieval-Augmented Generation) solutions using vector databases, embeddings, and enterprise knowledge repositories. Fine-tune, evaluate, and optimize foundation models and LLM-based applications. Programming Languages: Exposure to programming languages, particularly Python, and development environments like PyCharm, VS Code, and Jupyter Notebooks SAP Ecosystem for EAM Required Professional and Technical Expertise Generative & Agentic AI LLMs (GPT, Claude, Llama, Mistral, etc.) Prompt Engineering and RAG Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Multi-agent orchestration and workflow design MCP (Model Context Protocol) and agent integration patterns AI evaluation, observability, and governance Traditional AI & Data Science Machine Learning and Deep Learning Statistical Modeling and Predictive Analytics NLP, Classification, Clustering, Time Series Forecasting Feature Engineering and Model Optimization Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow) Enterprise Asset Management Knowledge of SAP ecosystem will be preferred Data & Cloud Technologies SQL, NoSQL, Vector Databases Data Engineering and ETL/ELT concepts Azure AI, Databricks, AWS, or GCP AI Services MLOps / LLMOps, CI/CD, Containerization Pakistan Data & Analytics Hybrid Professional Islamabad, PK (0104) IBM Italia SPA - Pakistan Branch