3 of 3 Permanent 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 ❯

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 ❯