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

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. We believe in the power of technology responsibly used to help people, partners and the planet. 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, Architect, 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. In this role, you will help clients unlock value from their data through advanced analytics, machine learning, automation, and Generative AI technologies. Develop and deploy AI, machine learning, and automation solutions for enterprise clients 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. 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 Ability to communicate technical concepts effectively to peers, managers, and clients 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,