Data Scientist-Artificial Intelligence

Introduction

A career in IBM Consulting is rooted by 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

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.

Your role and responsibilities

• Work with broader team to build, analyze and improve the AI solutions.
• You will also work with our software developers in consuming different enterprise applications

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
• Proficient in Python with focus on Data Analytics Packages.
• Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
• Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making.Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models

Preferred technical and professional experience

• Experience with conversation analytics. Experience with cloud technologies
• Experience with data exploration tools such as Tableu