Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.
At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a recent job, this is where you belong.

Data Scientist Analyst, Business & Customer Insights

Join our Business & Customer Insights team and play a key role in shaping the future of customer engagement and loyalty through advanced analytics, machine learning, and AI. You'll work on high-impact initiatives, develop innovative data science solutions, and translate complex data into actionable insights that drive business decisions. Collaborating with cross-functional teams, you'll have the opportunity to apply cutting‑edge technologies to enhance customer understanding, optimize loyalty programs, and deliver meaningful business impact.

What You'll Do

- Support machine learning and advanced analytics solutions by applying statistical modeling, predictive analytics, and data science techniques to solve business problems and improve customer engagement, personalization, and loyalty program effectiveness.
- Develop and enhance predictive models by supporting data preparation, feature engineering, model development, customer segmentation, and targeting methodologies across various business projects.




- Build and support AI-powered workflows and applications using Generative AI, Large Language Models (LLMs), and Agentic AI technologies, leveraging tools such as ChatGPT, Google Gemini, Qdrant, and Langfuse to automate analytical tasks, improve productivity, and generate actionable insights.
- Develop and maintain cloud-based data science solutions on Google Cloud Platform (GCP), leveraging technologies such as BigQuery, Vertex AI, and other cloud-based data and machine learning services.
- Support experimentation and campaign measurement through A/B testing, statistical analysis, and performance evaluation to assess business impact and identify optimization opportunities.
- Collaborate with cross‑functional teams and drive continuous improvement by translating business challenges into analytical solutions, communicating insights, and developing reusable analytical tools and automated workflows to improve efficiency and reliability.

What You'll Bring

- 1+ years of experience in Data Science, Machine Learning, or Advanced Analytics, including relevant internship, co‑op, research, or project experience, and a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
- Strong proficiency in Python and SQL, with hands‑on experience in data manipulation,



exploratory data analysis, statistical modeling, machine learning development, and workflow automation.
- Solid foundation in machine learning and statistical concepts, including classification, regression, clustering, feature engineering, model evaluation, and A/B testing.
- Familiarity with Google Cloud Platform (GCP), particularly BigQuery, Vertex AI, or other cloud-based data processing and machine learning technologies.
- Practical experience or demonstrated interest in Generative AI and LLM technologies, including ChatGPT, Google Gemini, AI-powered workflows, and Agentic AI applications. Exposure to retrieval‑augmented generation (RAG), vector databases such as Qdrant, and LLM observability tools such as Langfuse is considered an asset.
- Strong analytical thinking, problem‑solving, and communication skills, with the ability to collaborate effectively and translate analytical findings into actionable business insights. Experience with customer analytics, loyalty programs, personalization, marketing measurement, or visualization tools such as Looker, Tableau, or Power BI is considered an asset.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision‑making and come to life through our Blue Culture. We offer our colleagues

📌 Data Science Analyst (Brampton)
🏢 Loblaw
📍 Brampton