Data Intern

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
The ideal candidate should possess a strong foundation in data analysis and AI architecture along with consultative skills and business acumen enabling the seamless integration of advanced technologies into our clients’ business ecosystems to drive data-driven decision-making and measurable outcomes. In-depth knowledge of emerging AI technologies including machine learning models data pipelines and experience in utilizing these technologies to optimize and transform business processes is essential. Furthermore the candidate must demonstrate the ability to work effectively in cross-functional project teams articulating complex technical concepts clearly to both clients and colleagues in a fast-paced dynamic environment.

Required Technical and Professional Expertise
The ideal candidate should possess a strong foundation in data analysis and AI architecture along with consultative skills and business acumen enabling the seamless integration of advanced technologies into our clients’ business ecosystems to drive data-driven decision-making and measurable outcomes. In-depth knowledge of emerging AI technologies including machine learning models data pipelines and experience in utilizing these technologies to optimize and transform business processes is essential. Furthermore the candidate must demonstrate the ability to work effectively in cross-functional project teams articulating complex technical concepts clearly to both clients and colleagues in a fast-paced dynamic environment.

Preferred Technical and Professional Expertise
Candidates with a background in data analysis and AI architecture within specific industries are preferred as this enables a deeper understanding of the data-driven challenges and AI-driven needs of our clients. Additionally experience in managing data-centric projects and leading AI development teams in agile environments is highly valued. Advanced programming expertise in languages such as Python SQL or Java particularly for building machine learning models data pipelines and automating workflows will be considered a significant advantage. Familiarity with cloud computing platforms like AWS Azure or Google Cloud especially for deploying scalable AI and data solutions is essential. We seek candidates with a demonstrated passion for learning emerging technologies a track record of solving complex data and AI challenges creatively and the ability to architect innovative solutions in demanding environments. International experience and the ability to thrive in a multicultural and multilingual setting are highly appreciated.