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Senior Data Science Consultant, AWS Professional Services Join to apply for the Senior Data Science Consultant, AWS Professional Services role at Amazon Web Services (AWS). This position is part of AWS Professional Services where you will deliver cutting‑edge artificial intelligence and machine learning solutions to enterprise customers. Description As a Senior Data Science & AI Consultant in AWS Professional Services, you will lead the delivery of cutting‑edge artificial intelligence and machine learning solutions for our enterprise customers. You’ll drive innovation in Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey. Key job responsibilities Lead end‑to‑end delivery of complex AI/ML engagements, from strategic planning through pre‑production deployment and optimisation. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice. Influence customer AI strategy through technical expertise and industry insights. Lead multi‑disciplinary teams and coordinate across stakeholder groups to deliver high‑impact AI solutions. Provide thought leadership in internal and external engagements. Support pre‑sales activities to provide technical expertise and review project scoping and risks. This role will be based in our AWS offices in London, Manchester, Bristol or Cambridge, when not at the customer site. NB: You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details can be found at UK Government Security Clearance information. About the team AWS values diverse experiences and encourages applicants to apply even if they don’t meet all preferred qualifications. If your career has just started, or you have a non‑traditional background, we still want to hear from you. Basic qualifications Strong experience building large‑scale machine learning or deep‑learning models and in Generative AI model development. Experience in data and machine learning engineering and cloud‑native technologies. Strong experience communicating across technical and non‑technical audiences. Strong experience facilitating discussions with senior leadership regarding technical/architectural trade‑offs, best practices, and risk mitigation. Eligibility for the UK Security Clearance. Preferred qualifications Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science. Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3). Experience with software development life cycle (SDLC) and agile/iterative methodologies. Experience using Python and hands‑on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, or MXNet. Amazon is an equal opportunity employer. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. #J-18808-Ljbffr
