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Come forge the future like an IBMer.

Ready to think boldly, work with some of the world’s most recognized brands, and kick-start your career? Welcome to IBM’s Associate Program for university hires. From day one, you will collaborate with global clients and IBM teams on projects that help organizations solve tough challenges across digital transformation, cloud strategy, AI adoption, process redesign, analytics, generative AI, and agentic AI-enabled transformation.

As an Associate, you will work alongside a global cohort of diverse, ambitious peers and have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM’s AI-driven learning platform, supported by coaches, mentors, and professional communities across practices. IBM’s culture of internal mobility means you can explore new technologies, industries, and career paths as your interests evolve.

Bring your curiosity. Grow your skills. Build what’s next – like an IBMer. This role is a strong fit for analytical problem solvers who want to use data science, machine learning, and GenAI/ Agentic AI-enabled workflows responsibly to uncover patterns, evaluate intelligent systems, and help clients make better decisions.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly – it’s the best way to get a centralized view of which roles you have active applications against.

As an Associate Data Scientist, you will help solve business problems using statistics, machine learning, and data science techniques while contributing to generative AI and agentic AI workflows, along with open-source tools such as Python, R, and TensorFlow, IBM tools, and AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, evaluate model and workflow performance, and provide recommendations to stakeholders.

Collaborating closely with diverse teams, you will help select appropriate modeling approaches, identify the critical data needed for analysis, and translate complex model results into clear recommendations for technical and non-technical audiences.

In your role, you may be responsible for:

• Prepare, cleanse, join, and analyze structured, semi-structured, and unstructured data for analytics, machine learning, GenAI, and agentic AI workflows.
• Implement and validate predictive, prescriptive, statistical, and machine learning models with a focus on measurable client and business outcomes.
• Design experiments, features, prompts, evaluation datasets, metrics, and tests to assess model outputs, workflow accuracy, reliability, bias, and business value.
• Build GenAI, RAG, and agentic AI workflows by evaluating retrieval quality, grounding, generated responses, tool-use outcomes, and end-to-end agent performance.
• Work in an Agile, collaborative environment with data scientists, data engineers, AI engineers, consultants, architects, and database administrators to bring analytical rigor and responsible AI practices to client challenges.
• Communicate with internal and external clients to understand business needs, select appropriate modeling techniques, and explain assumptions, limitations, and recommendations.
• Evaluate modeling results and present insights clearly to technical and non-technical audiences, translating findings into practical actions.

• High School Diploma/GED

• Bachelor’s Degree

• Strong fundamentals in mathematics, statistics, computer science, algorithms, and analytical reasoning.
• Familiarity with programming languages such as Python, SQL, R, or similar.
• Foundational understanding of predictive modeling, prescriptive modeling, statistical methods, machine learning, GenAI, and Agentic AI.
• Basic understanding of cloud environments, data platforms, or AI platforms such as AWS, Azure, Google Cloud or similar.
• Strong technical and analytical abilities, problem solving, debugging, troubleshooting, teamwork, and communication skills.
• Willingness to travel up to 100%, based on project requirements.

• Bachelor’s degree in a related field such as Computer Science, Data Science, Statistics, Mathematics, MIS, Engineering, AI/ML, or another quantitative field.
• Coursework, projects, internship experience, or portfolio work involving data science, machine learning, analytics, GenAI, and Agentic AI.
• Familiarity with LLMs, embeddings, vector databases, retrieval systems, prompt workflows, RAG, model behavior evaluation, and AI agent workflow patterns.
• Exposure to orchestration and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, MCP-based tooling, or similar tools.
• Understanding of Git, containers, APIs, testing frameworks, CI/CD, MLOps, LLMOps, observability, model monitoring, data governance, privacy, security, or responsible AI practices.

IBM Consulting is IBM’s consulting and global professional services business, with market-leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners, and the planet.

In a world where technology never stands still, we understand that the dedication to our clients’ success, innovation that matters, and trust and personal responsibility in all our relationships, live 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 every day, 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 ongoing 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 every day 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?

IBM’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.

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well-being.
• Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long-term disability coverage, and opportunities for performance-based salary incentive programs.
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law.
• Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals.
• Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences.

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

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.

San Francisco, California, United States