4 of 4 Data Science Jobs in Windsor

it, move it, sell it, 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 each of our brilliant businesses … technologies such as Docker and 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 as Microsoft Certified: Azure Solutions More ❯

role, given that it is 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 is your chance to lead … our teams to fully harness 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-evolving landscape of Generative AI … of experience required; Master's 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. Expertise in LLMs, ML Ops More ❯

they align with our strategic 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 front-end interfaces, API layers … seamless integration between components and 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 with Innovation Designers and other … of innovations. Design Skills Application : 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, and validate the technical aspects More ❯

Strong understanding of GenAI concepts, 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 with cloud-based platforms and … enterprise AI 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 agile, lean startup, and iterative prototyping Key Mars … full product lifecycle for GenAI 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 backlog of GenAI use cases More ❯