Delivery Consultant - Data & Analytics, AWS Professional Services
Amazon Web Services (AWS)
London
Description Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what’s best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. Candidates will have a balance of technical and consulting skills and experience, enabling them to work with business as well as IT leaders, software developers and architects to shape Professional Services engagements. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs. You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications with . You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity. Responsibilities Include
- Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale.
- Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations
- Delivery - Engagements will include onsite projects proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
- Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector
- Push the envelope – computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience with integration of cloud services with on-premise technologies from microsoft, ibm, oracle, hp, sap
- Experience developing software code in one or more programming languages (java, python, etc.)
- Relevant experience in building large scale machine learning or deep learning models and Generative AI model development
- Eligibility for the UK Security Clearance
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Experience communicating across technical and non-technical audiences
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Fluency in written and spoken English
Posted 2025-09-21
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