drjobs Delivery Consultant - Data Analytics AWS Professional Services

Delivery Consultant - Data Analytics AWS Professional Services

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job 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 whats 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 rollup your sleeves and guide customers deconstruct ambiguity.

Responsibilities include:

Expertise Collaborate with field sales presales 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 onsite technical engagements with partners and customers. This includes participating in presales onsite 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


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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its in our nature to learn and be curious. Our employeeled 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.

Experience facilitating discussions with senior leadership regarding technical / architectural tradeoffs best practices and risk mitigation
Experience with integration of cloud services with onpremise 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
Masters degree in a quantitative field such as statistics mathematics data science engineering or computer science
Experience communicating across technical and nontechnical 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

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 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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Contract

Employment Type

Full-Time

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