AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation

Introduction

A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe.

Introduction

A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

About Business Unit

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.

Your Role And Responsibilities

Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in leveraging artificial intelligence, automation, and machine learning to solve real-world business challenges. The successful candidate will join a fast-paced consulting team composed of Partners, Product Managers, Data Scientists, Architects, and Software Engineers to conceptualize, develop, and deploy AI and machine learning solutions that address enterprise-scale problems. As a team, we pride ourselves on tackling some of the most complex challenges our clients face by combining subject matter expertise, data science, and technical execution. As an AI & Automation Data Scientist Associate , you will have the opportunity to work with industry-leading data science, machine learning, and AI technologies on cloud platforms such as IBM Cloud, Microsoft Azure, and AWS. You will contribute to innovative projects that generate value for external client engagements and internal initiatives while collaborating with experienced practitioners across consulting, data science, and software engineering disciplines. IBMers thrive in collaborative environments that embrace diverse perspectives and innovative thinking. We encourage curiosity, continuous learning, and a hands‑on approach to solving challenging client problems. In this role, you will help clients unlock value from their data through advanced analytics, machine learning, automation, and Generative AI technologies.

In This Role, You Will

• Develop and deploy AI, machine learning, and automation solutions for enterprise clients
• Analyze large datasets and generate actionable insights that support business decision-making
• Collaborate with cross-functional teams to translate business challenges into data-driven solutions
• Support the development of Generative AI, Agentic AI, and advanced analytics applications
• Participate in proof-of-concept development, experimentation, and production deployment activities
• Contribute to client presentations, technical demonstrations, and solution recommendations
• Continuously build expertise in data science, machine learning, cloud technologies, and consulting practices
• Candidates considered for positions located in Quebec must be fluent in French

This opportunity is based in in Toronto, Calgary, or Montreal and supports Associate Consultant hiring cohorts commencing in May 2027 and September 2027. We are recruiting for both start dates and encourage eligible candidates to apply. Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date. Please note that MBA and PhD graduates are not eligible for this program.

Required Technical And Professional Expertise

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Artificial Intelligence, Analytics, or a related technical field
• Demonstrated familiarity or interest in machine learning, statistical analysis, artificial intelligence, data mining, or predictive modeling through academic projects, internships, research, hackathons, publications, or personal projects
• Experience with one or more programming languages, preferably Python
• Hands‑on experience with GenAI and Agentic AI frameworks (e.g., Microsoft Agent Framework, LangChain, LangGraph, AutoGen) and LLM concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows
• Strong analytical, problem-solving, and quantitative reasoning skills
• Ability to communicate technical concepts effectively to peers, managers, and clients
• Comfortable working independently and collaboratively within cross-functional teams
• Must be eligible to work full‑time in Canada

Preferred Technical And Professional Experience

• Internship, co‑op, research, or project experience in data science, artificial intelligence, machine learning, analytics, or software engineering
• Experience using machine learning and data science libraries such as Scikit‑learn, SciPy, Pandas, TensorFlow, or PyTorch
• Experience working with Generative AI, Large Language Models, and advanced AI frameworks
• General familiarity with databases and data engineering technologies such as SQL, Kafka and distributed data platforms
• Familiarity with cloud platforms such as IBM Cloud, Microsoft Azure, AWS, or Google Cloud Platform (GCP)
• Experience developing AI prototypes, proof‑of‑concepts, or data‑driven applications
• Understanding of MLOps, model deployment, monitoring, and governance concepts
• Experience with automation technologies, AI agents, or enterprise AI solutions is an asset