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Data Scientist-Artificial Intelligence

8 days ago 2026/05/27
10-49 Employees · IT Services
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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.





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 Analyze large, complex data sets and provide actionable insights to inform business decisions.
  • 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 Tableau.





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