Computer science Jobs in Brampton, ON

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 new job, this is where you belong.

Data Scientist II, Business & Customer Insights, Brampton, ON

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

• Develop advanced analytics and machine learning solutions by applying statistical models, machine learning, predictive analytics, and experimentation to solve complex business problems and drive customer engagement, personalization, and loyalty program effectiveness.
• Design and enhance data-driven products by developing innovative customer segmentation, predictive modeling, and targeting methodologies to improve customer understanding, offer relevance, and marketing effectiveness.
• Leverage Generative AI, Large Language Models (LLMs), and Agentic AI solutions, including technologies such as ChatGPT and Google Gemini, to develop innovative analytics solutions, automate complex workflows, enhance productivity, and generate actionable business insights.
• Translate complex business challenges into analytical solutions by collaborating with cross-functional stakeholders, synthesizing diverse data sources, and communicating insights and recommendations that influence business strategies.
• Drive automation and continuous improvement by developing reusable analytical frameworks, optimizing data science workflows, and enhancing the scalability, efficiency, and reliability of analytics and loyalty data products.

What You'll Bring

• 3+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related quantitative field, with a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
• Strong proficiency in Python and SQL, with hands‑on experience in data manipulation, statistical analysis, machine learning, workflow automation, and data visualization using tools such as Looker, Tableau, or Power BI.
• Strong foundation in statistical modeling, machine learning, predictive analytics, and experimentation, including classification, regression, clustering, A/B testing, and model evaluation.
• Hands‑on experience with Google Cloud Platform (GCP), particularly BigQuery, Vertex AI, and other cloud‑based data processing and machine learning technologies
• Practical experience with Generative AI and LLMs, including ChatGPT, Google Gemini, or similar technologies, with interest or experience in AI‑powered automation, Agentic AI, and intelligent workflows.
• Strong analytical, problem‑solving, and communication skills, with the ability to translate complex business problems and analytical findings into clear, actionable recommendations. Experience in customer analytics, loyalty, personalization, or marketing measurement is 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 progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

We have a long‑standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

Please NoteCandidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

Hiring Range / Échelle Salariale à L’embauche$80,000.00 - $110,000.00 / 80.000,00$ - 110.000,00$ (per year / par an)A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

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