Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Amazon.com, Inc; City of Westminster; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in the UK seeks a skilled professional to collaborate on cutting-edge generative AI projects. The role requires extensive experience in data scripting, algorithms, and customer engagement. Ideal candidates will have a strong background in machine learning and experience with AWS services such as Amazon Bedrock and Amazon SageMaker. The position emphasizes team collaboration, customer interaction, and the development of best practices related to generative AI applications.

Qualifications

• Experience with data scripting languages and statistical software.
• Experience in algorithms, data structures, and optimization.
• Experience in professional services and customer engagement.
• Experience researching machine learning and data science.

Responsibilities

• Collaborate with ML scientists to develop generative AI algorithms.
• Interacting with customers to understand and implement AI solutions.
• Creating best-practice recommendations and documentation.
• Providing feedback to Product and Engineering teams.

Skills

Data scripting languages (SQL, Python, R)

Algorithms and data structures

Statistical/mathematical software (e.g., R, SAS, Matlab)

Machine learning and deep learning research

Education

Bachelor’s degree with 8+ years or Master’s/PhD in relevant field

Tools

Amazon Bedrock

Amazon SageMaker

LangChain

LlamaIndex

Job description

Responsibilities

• Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting‑edge generative AI algorithms that address real‑world challenges.
• Interact with customers directly to understand their business problems, guide the implementation of generative AI solutions, deliver briefings and deep‑dive sessions, and advise on adoption patterns and paths to production.
• Create and deliver best‑practice recommendations, tutorials, blog posts, sample code, and presentations adapted for technical, business, and executive stakeholders.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.
• Work directly with customers, design and run experiments, research new algorithms, and find innovative ways to optimize risk, profitability, and customer experience.

Qualifications

• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high‑performance computing.
• Experience delivering customer engagements in a professional services role.
• Experience researching machine learning, deep learning, NLP, computer vision, and data science.
• Bachelor’s degree with 8+ years of experience, or Master’s degree with 4+ years, or a Master’s/PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field.
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
• Experience designing, deploying, and evaluating LLM‑powered agents and tools, and orchestration approaches.
• Experience designing, developing, and optimizing high‑quality prompts and templates that guide LLM behavior and responses.
• Experience with open‑source frameworks for building LLM‑powered applications (e.g., LangChain, LlamaIndex, or similar tools).

About the Team

The GenAI Innovation Center team helps customers imagine and scope the use cases that create the greatest value, select and train the right models, define paths to navigate technical or business challenges, develop proof of concepts, and plan for launching solutions at scale. The team also provides guidance on best practices for applying generative AI responsibly and cost efficiently.

Inclusion & Culture

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. Our employee‑led affinity groups, ongoing events, and learning experiences foster a culture of inclusion that empowers us to be proud of our differences.