Introduction
We are seeking enthusiastic and driven interns to join the AI, Automation, and Data Platforms (AADP) team at IBM CIO. As an intern, you will play a critical role in developing cutting-edge solutions using Watsonx LLMs (Large Language Models), Watsonx Orchestrate, Milvus, and other state-of-the-art technologies. You will work closely with cross-functional teams to integrate these solutions into business processes, orchestrate various components, and build scalable solutions leveraging automation, AI, and data technologies.
This role requires a strong understanding of business needs and the ability to translate them into technical stories to guide development:
- Hands-on experience working with IBM's cutting-edge technologies, including GenAI (Watsonx.ai platform), LLM technologies, vector databases (Watsonx.data), and automation tools (Watson Orchestrate).
- Opportunities to enhance your programming skills, critical thinking, and problem-solving abilities.
- Exposure to real-world challenges in AI orchestration, automation, and business-driven development.
- Experience working in a dynamic, innovation-focused environment alongside leading experts in AI, automation, and data platforms.
- Networking opportunities within IBM's global business and technology ecosystem.
Your role and responsibilities
Role Overview:
As a Data Scientist intern in the AI, Automation and Data Platform organization, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
Key Responsibilities:
AI, Data Science, and Technical Execution:- Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
- Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
- Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
- Collect, clean, and preprocess structured and unstructured datasets.
- Help refine data-driven methodologies for transformation projects.
- Learn and utilize cloud platforms to ensure the scalability of AI solutions.
- Leverage reusable assets and apply IBM standards for data science and development.
- Apply ML Ops and AI ethics.
- Strategic Planning
Translate business requirements into technical strategies.
- Ensure alignment to stakeholders' strategic direction and tactical needs.
- Apply business acumen to analyze business problems and develop solutions.
- Collaborate with stakeholders and team to prioritize work.
- Project Management and Delivering Business Outcomes:
Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
- Use agile strategies to manage and execute work.
- Monitor project timelines and help resolve technical challenges.
- Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
- Communication and Collaboration:
Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
- Create compelling data visualizations and dashboards.
- Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
Pursuing a Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field.- Experience with AI/ML technologies and statistical modeling through coursework, projects, or past internships or full time positions.
Technical Skills:
Proficiency in SQL and Python for performing data analysis and developing machine learning models.- Experience and/or coursework in statistics, machine learning, generative and traditional AI.
- Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
- Familiarity with cloud-based platforms and data processing frameworks.
- Understanding of large language models (LLMs).
- Familiarity with object-oriented programming.
- Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
Strategic and Analytical Skills:
Strategic thinking and business acumen.- Strong problem-solving abilities and eagerness to learn.
- Ability to work with datasets and derive insights.
- Attention to detail.
Communications and Soft Skills:
Excellent communication skills, with the ability to explain technical concepts clearly.- Independent and team-oriented.
- Understands AI Ethics principles.
- Works in an open and inclusive manner.
- Adaptable to fast-paced environments.
- Enthusiasm for learning and applying new technologies.
- Growth mindset.
- Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
ABOUT BUSINESS UNITIBM Finance & Operations (F&O) provides critical capabilities that enable IBM to operate as a data-driven enterprise powered by intelligent workflows. Our teams span Finance, Transformation & Operations, Strategy, and Mergers & Acquisitions. We partner across the company to drive business performance, enterprise transformation, and long-term growth. Through data-driven insights, innovative solutions, and strategic execution, we help IBM deliver greater value to clients, partners, employees, and shareholders.
YOUR LIFE @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILSSupplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
