Data Science Intern

Job Details Description

SGS & Co is a global brand impact group delivering speed and quality through innovation and insights to drive impact for our world-class clients. We combine deep expertise in design, graphic services, production, technology, and process optimization with unmatched marketplace understanding, dynamic ideas, and client-first customer service. We bring the world’s best brands to life and set them up for success in the modern world.

SGS & Co shifts brands to impact through the strength of our people. Our team of nearly 5,000 employees across 30+ countries works collaboratively to exceed client expectations today and anticipate how we’ll need to pivot together to win tomorrow. We take pride in our commitment to diversity, equity, and inclusion along with our ambition to lead the industry to a more sustainable future to drive positive impact for our clients, our people, and our planet.

Duration: 4 to 8 month long Co-Op

Location: Remote Toronto

Profile

Responsible for solving complex business problems and surfacing actionable insights through modern AI workflows, including statistical modeling, generative AI, agent-based systems, and real-time analytics. The data scientist will contribute to the organization’s data and AI infrastructure and support senior leadership with intelligent insights, reports, and experimentation to guide decision-making.

Key Responsibilities

• Understands business processes, decision workflows, and the information needs of business unit heads and service managers
• Translates business needs into analytics, automation, or AI/ML requirements to drive executive decisions and efficiency
• Proactively mines structured and unstructured data to identify trends, patterns, and opportunities
• Designs and runs experiments to evaluate hypotheses and discover key relationships in large datasets
• Leverages large language models (LLMs), autonomous agents, and prompt chaining tools such as LangChain and LangGraph for intelligent data-driven solutions
• Researches and applies state-of-the-art techniques in ML, NLP, and generative AI
• Trains and fine-tunes foundation models where required; establishes evaluation frameworks for continuous learning
• Visualizes insights and builds intuitive, dynamic dashboards and reporting tools
• Supports product teams with data-backed recommendations on new features or enhancements
• Collaborates with UX designers and frontend developers to create intelligent data and AI interfaces
• Contributes to knowledge-sharing, documentation of best practices, and peer enablement in data science and AI

Skills

• Hands-on experience with LLMs, transformers, or agent-based workflows is a strong asset
• Familiarity with LangChain, LangGraph, OpenAI, Hugging Face, or vector databases is a plus
• Solid understanding of machine learning principles and generative AI applications
• Strong knowledge in predictive modeling and statistical inference
• Experience working with structured and unstructured datasets
• Comfortable working in agile environments with modern cloud and AI tooling
• Strong communication and collaboration skills

Experience

• Strong foundation in ML, statistics, and generative AI — demonstrated via academic or project experience
• Prior co-op, internship, or work experience in data science, ML engineering, or AI/LLM projects is a plus
• Excellent programming skills in Python and SQL
• Experience with cloud platforms like Azure, GCP, or AWS is a plus
• Understanding of modern AI libraries and frameworks like PyTorch, scikit-learn, numpy, transformers, etc.
• Familiarity with data engineering, streaming, or pipelining workflows

Education Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, or related fields

Compensation:

The Ontario pay range for this position is $30.00–33.00 an hour. In determining pay, we will consider the successful candidate's experience, skills, knowledge, and other job-related factors.

Commitment to Inclusion:

We remain committed to ensuring equal opportunity in all aspects of employment, including recruitment. We encourage applications from all qualified individuals, particularly those who may contribute to the further diversification of our organization. If you require any form of accommodation during the recruitment process, please do not hesitate to let us know. Together, we strive to foster an environment where everyone can thrive and be their authentic selves.