6 of 6 Data Science Jobs in Windsor

project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This … the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever … degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. More ❯

including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight timelines Familiarity … infrastructure (e.g., Azure, GCP, AWS) Comfortable navigating AI governance, legal, and compliance frameworks while delivering innovative solutions Strong communication, facilitation, and stakeholder engagement skills Data-driven mindset with experience defining success metrics, tracking KPIs, and applying user insights to optimize products Experience with user-centric delivery approaches such as … solutions, from ideation and prioritization to deployment and iteration, ensuring alignment with business goals and platform capabilities. Cross-Functional Orchestration : Partner with business stakeholders, data science teams, developers, and platform operations to translate user needs into scalable, governed GenAI products. Backlog & Roadmap Ownership : Maintain and groom a dynamic More ❯

direction towards sustainable energy solutions. AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency. Full-Stack Development: Architect and develop end-to-end solutions spanning … optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to the companies position at the forefront of the energy industry. Cross-functional Collaboration: Work closely … Apply basic design skills to contribute to user interface and experience aspects of the prototype, with particular focus on designing effective AI interactions and data visualizations, aiding in the creation of intuitive and user-centric products. Knowledge Sharing: Act as a technical mentor within the Innovation Team, sharing expertise More ❯

end and back-end systems. Artificial Intelligence & Machine Learning: Build and deploy AI/ML models and algorithms to extract insights from energy-related data, enhance operational efficiency, and optimise customer-facing systems. Full-Stack Development: Deliver end-to-end software solutions, encompassing user interfaces, API layers, and server … side infrastructure, ensuring seamless functionality across the technology stack. Technical Innovation: Utilise advanced technologies, including large language models, computer vision, predictive analytics, and data science, to address complex challenges and contribute to industry-leading digital innovation. Agile Development Methodology: Apply agile principles to iterate quickly, incorporate feedback, and … Design and AI Interaction: Contribute to the design of intuitive and effective user experiences, with a particular focus on AI interaction patterns and clear data visualisation. Stakeholder Engagement: Collaborate with internal and external stakeholders to validate requirements, communicate technical capabilities, and ensure that innovations meet user and business needs. More ❯

and mend it. About your team: You’ll be working centrally within our mission control room, aka Centrica’s group functions. From Finance and Data Science, to our Wellbeing and People teams - this is the engine of our energy system, where our various Centres of Excellence power up … Kubernetes. Proficiency in cloud platforms: Azure and AWS. Expertise in Microsoft Defender and Kusto Query Language (KQL). Qualifications: Bachelor’s degree in Computer Science, IT, or related field. Minimum of 5 years of experience in IT infrastructure engineering, focusing on Microsoft 365 tools and services. Relevant certifications such More ❯

direction towards sustainable energy solutions. AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency. Full-Stack Development: Architect and develop end-to-end solutions spanning … optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to Centrica's position at the forefront of the energy industry. Cross-functional Collaboration: Work closely … Apply basic design skills to contribute to user interface and experience aspects of the prototype, with particular focus on designing effective AI interactions and data visualizations, aiding in the creation of intuitive and user-centric products. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine requirements, gather feedback More ❯