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 IBM Global Real Estate (GRE) team manages a diverse range of real estate disciplines, including strategy & transactions, space management, workplace design and experience, engineering and construction, lease management, real estate acquisitions and dispositions, integration/divestitures, facility operations, asset management, employee safety, environmental and energy management.
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The GRE Technology team is a global group of highly skilled Subject Matter Experts dedicated to delivering innovative and inclusive global workplace solutions. We leverage technology to enable data-driven decisions across IBM's portfolio and operations, partnering with clients and trusted suppliers. Our focus is on enhancing productivity through process enhancement, simplification, and automation, while leading the adoption of software and AI across our products, processes, platforms, and partnerships. Our areas of expertise include Data strategy, Data Management, Data Governance, Data Integration and Reporting, Hardware and Software Strategy and Design, IoT, Cybersecurity, Sustainability, AI and Automation, and Technology Transformation and Architecture.
In the dynamic and evolving tech landscape, resilience, commitment, and curiosity are key to success as an IBM Global Real Estate Technology Team intern. You will engage in various aspects of data management, analysis, testing, support, process automation, and AI implementation to address diverse use cases.
In this role, you will receive guidance from mentors and coaches who will encourage you to challenge the norm, explore ideas beyond your role, and develop innovative solutions that have a significant impact on the business, our external clients, and their customers. Our culture of flexibility and freedom supports long-term career growth and learning opportunities, highlighting your unique skills and experiences.
As a Data and AI Intern, you will:
- Learn about various data structures and develop new methods for combining and analyzing data to derive insights.
- Implement business process automation with a focus on improving productivity.
- Learn and apply foundation models based generative AI to expand use cases across various applications and the Enterprise Data & AI platform.
- Utilize cutting-edge tools such as watsonx, Watson Orchestrate, Cognos, Tririga, Maximo, Envizi, and others.
- Communicate with internal clients to understand their business needs and provide analytical solutions.
- Collaborate in an agile environment, partnering with other technology team members.
Who You Are:
- Highly motivated with a passion for creating and supporting effective solutions.
- Thrive on collaboration, working alongside people from diverse backgrounds and disciplines, and possess strong verbal and written communication skills.
- Skilled at solving problems, debugging, troubleshooting, designing, and implementing solutions for complex technical issues.
Required Technical and Professional Expertise
- Knowledge of data migration and data warehousing.
- Experience with database server connectivity and usability testing.
- Proficiency in programming/scripting languages such as Java, Python, SQL, R, etc.
- Ability to perform quantitative analysis that translate data into actionable insights and support data-driven decision-making.
- Experience in developing and maintaining data models, algorithms, and statistical models.
- Understanding of AGILE practices.
- Basic understanding of foundation models and generative AI.
Preferred Technical and Professional Expertise
- 3 months experience with JavaScript, Python, R, and SQL.
- 3 months experience with APIs and cloud technologies.
- 3 months experience with visualization tools such as Cognos, Google Analytics, Tableau, etc.