Delivery Consultant - Data & Analytics, AWS Professional Services

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job description

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. 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 to deconstruct ambiguity.

Responsibilities include:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

BASIC QUALIFICATIONS

1. Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation.
2. Experience with integration of cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP.
3. Experience developing software code in one or more programming languages (Java, Python, etc.).
4. Relevant experience in building large scale machine learning or deep learning models and Generative AI model development.
5. Eligibility for the UK Security Clearance.

PREFERRED QUALIFICATIONS

1. Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
2. Experience with software development life cycle (SDLC) and agile/iterative methodologies.
3. Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science.
4. Experience communicating across technical and non-technical audiences.
5. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet.
6. Fluency in written and spoken English.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. 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 (https://www.amazon.jobs/en/privacy_page) 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 or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.