Data Science Consultant, AWS Professional Services

Amazon Jobs; Bristol; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is seeking a Data Science & AI Consultant to deliver advanced AI and machine learning solutions for enterprise clients. Your responsibilities will include leading end-to-end delivery of AI/ML projects, mentoring junior consultants, and influencing customer AI strategies. A Master's in a quantitative field and experience with Python and deep-learning frameworks are essential. The role offers a dynamic work environment with opportunities for innovation in machine learning.

Benefits

Mentorship and career growth opportunities

Work-life balance initiatives

Inclusive team culture

Qualifications

• Experience facilitating discussions with senior leadership on technical trade-offs.
• Relevant experience in building large-scale machine-learning models.
• Experience in communicating technical concepts in an accessible manner.

Responsibilities

• Lead delivery of AI/ML engagements from planning to deployment.
• Implement advanced solutions leveraging AWS AI/ML services.
• Provide mentorship and drive best practices in delivery teams.

Skills

Excellent communication across technical and non-technical audiences

Experience in using Python

Understanding of cloud integration with on-premises technologies

Fluent in written and spoken English

Education

Master’s degree in a quantitative field

Tools

TensorFlow

Keras

PyTorch

MXNet

Job description

As a 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 Responsibilities

• Lead end‑to‑end delivery of complex AI/ML engagements, from strategic planning through to 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.
• 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 found here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels

Qualifications

• Experience facilitating discussions with senior leadership regarding technical or architectural trade‑offs, best practices, and risk mitigation.
• Experience with integration of cloud services with on‑premises technologies from Microsoft, IBM, Oracle, HP, SAP; knowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3).
• Master’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• Relevant experience in building large‑scale machine‑learning or deep‑learning models.
• 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.

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.

Equal Opportunity & Accessibility

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.