Associate Data Engineer, AI & Analytics

About the Role

In this role, you'll work in an IBM Consulting FutureNow Center, delivering deep technical and industry expertise to public and private sector clients. As an Associate at IBM, you'll gain hands-on experience on client projects, receive mentorship, career coaching, and access to certification opportunities. AI is integral to delivering solutions, accelerating development, analyzing data, automating business processes, and solving complex business challenges. You'll develop consulting, communication, and collaboration skills.

Your Role and Responsibilities

• Help organizations unlock data value for smarter decisions, improved business outcomes, and accelerated innovation through Artificial Intelligence and advanced analytics.
• Work on projects leveraging data, machine learning, Generative AI, and analytics to solve complex business challenges across various industries.
• Collaborate with experienced consultants, data scientists, AI engineers, data engineers, and business professionals.
• Build skills for a career in data and AI consulting through mentorship, certifications, structured learning, and hands-on client experiences.

Requirements & Tech Stack

• Currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
• Foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
• Foundational understanding of databases, data structures, data processing, and analytics concepts.
• Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM SkillsBuild, or self-directed learning.
• Exposure to cloud technologies, modern data platforms, or data architectures through coursework, labs, projects, hackathons, or internships.
• Ability to communicate technical findings and data-driven insights to both technical and business audiences.
• Demonstrated application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.

Preferred Experience

• Exposure to analytics, business intelligence, Artificial Intelligence, or cloud-based data projects.
• Familiarity with data visualization tools, machine learning concepts, cloud platforms, or modern analytics solutions.