Data Scientist - Advanced Analytics

IBM; Islamabad; On-site; PKR 1,800,000 - 2,800,000; Full time

Job summary

IBM Consulting in Pakistan seeks a Data Scientist with Advanced Analytics to help clients shape hybrid cloud and AI journeys. You will leverage data preparation, analytics, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes.

You will design and deploy agentic AI solutions, build predictive models in Python, and communicate insights using Pandas, NumPy, Matplotlib, Seaborn and Plotly to stakeholders. A Master’s degree is preferred.

Qualifications

• Advanced data analytics and modeling experience.
• Strong business acumen and ability to translate analytics into business impact.
• Experience with Python-based data science workflows.

Responsibilities

• Agentic AI development and orchestration across AI agents and LLM frameworks.
• Develop predictive models using Python.
• Analyze and interpret data with optimization and predictive analytics.
• Manipulate and visualize data using Pandas, NumPy, Dask and Matplotlib/Seaborn/Plotly.

Skills

Advanced Analytics

Business Acumen

AI governance

Prompt engineering

Education

Master’s Degree

Tools

Python

Pandas

NumPy

Dask

Matplotlib

Seaborn

Plotly

VS Code

Jupyter Notebooks

PyCharm

Job description

Introduction

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

As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes.

Your Primary Responsibilities

• Agentic AI Development and Orchestration: Experience in designing, developing, and orchestrating Agentic AI solutions using autonomous AI agents, workflows, and LLM frameworks. Proficiency in integrating AI agents with enterprise applications, APIs, and data platforms to automate complex business processes. Strong understanding of Retrieval‑Augmented Generation (RAG), prompt engineering, guardrails and AI governance best practices.
• Develop Predictive Models: Apply proficiency in programming languages, particularly Python, to design and implement traditional predictive models that forecast trends and suggest optimizations for improved business outcomes.
• Analyze and Interpret Data: Utilize mathematical optimization, discrete‑event simulation, and predictive analytics to extract insights from diverse data types and structures, ensuring data‑driven decision‑making and business optimization.
• Manipulate and Visualize Data: Employ expertise in data manipulation using tools such as Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly to effectively communicate insights to stakeholders.

Preferred Education

Master’s Degree

Required Technical And Professional Expertise

• Microsoft Foundry, Copilot and Azure AI services: Strong knowledge of Microsoft Foundry, Microsoft Copilot, and Azure AI Services for developing intelligent applications and copilots. Experience with Azure OpenAI, AI Search, Prompt Flow, and responsible AI practices is preferred. Additional experience with PowerApps will be further preferred.
• Generative AI and Agentic AI: Knowledge of modern Generative AI and Agentic AI frameworks, such as LangChain, LangGraph, Hugging Face, LlamaIndex, CrewAI, and AutoGen, for building intelligent AI applications. Ability to design, orchestrate, and deploy scalable multi‑agent workflows with tool integration, memory, Retrieval‑Augmented Generation (RAG), and LLM‑based reasoning capabilities.
• Programming Languages: Exposure to programming languages, particularly Python, and development environments like PyCharm, VS Code, and Jupyter Notebooks.

Preferred Technical And Professional Experience

• Machine Learning Knowledge: Exposure to machine learning concepts and techniques, including statistical modeling and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.
• Statistical Analysis Skills: Familiarity with statistical analysis tools like SPSS, SAS, and R, in addition to Python, to analyze and interpret complex data sets.
• Data Manipulation and Visualization: Experience working with data manipulation tools such as Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly.