Data Scientist - Advance Analytics

Introduction

As a Data Scientist – Advanced Analytics, you will be responsible for applying cutting-edge data science and AI methodologies to solve complex business problems for clients across various industries. You will work with diverse datasets and use statistical, machine learning, and generative AI techniques to uncover insights, build predictive models, and develop scalable analytical solutions.

Key Responsibilities Include

• Designing and implementing advanced analytics solutions using statistical modeling, machine learning, and AI frameworks.
• Working with structured and unstructured data from various sources to build predictive and prescriptive models.
• Collaborating with cloud engineers and data engineers to productionize models and ensure scalability across cloud platforms (IBM Cloud, Azure, AWS, GCP).
• Applying generative AI techniques including prompt engineering, fine-tuning, and use of frameworks like LangChain to deliver intelligent automation and content generation solutions.
• Communicating insights and findings clearly to technical and non-technical stakeholders.
• Supporting the development of MLOps pipelines for continuous integration and delivery of machine learning models.
• Contributing to consulting engagements, offering data-driven strategies, and identifying opportunities for AI-driven transformation.
  
  

Your Role And Responsibilities

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong hands-on experience with Python or R for statistical modeling, machine learning, and data visualization.
• Proven experience with one or more cloud platforms (IBM Cloud, Azure, AWS, GCP) for deploying AI/ML solutions.
• Solid understanding of machine learning workflows, model development, evaluation, and deployment.
• Experience with generative AI, including prompt engineering, fine-tuning LLMs, and use of frameworks like LangChain.
• Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD for ML).
• Exposure to multiple industries, demonstrating adaptability and application of data science in varied domains.
• Strong analytical thinking, problem-solving ability, and communication skills with client-facing consulting experience.
  
  

Preferred Technical And Professional Experience

• Experience working with large language models (LLMs) and understanding of transformer-based architectures.
• Familiarity with cloud-native AI tools and services such as Azure ML Studio, AWS SageMaker, Google Vertex AI, and IBM Watson.
• Experience with Agile methodologies and working in cross-functional, collaborative teams.
• Hands-on experience in data storytelling, dashboarding, or visualization tools like Power BI, Tableau, or IBM Cogno