Intelligence Analyst Enterprise Protection Program jobs at Amazon

Key job responsibilities
Throughout your apprenticeship, you’ll develop in-demand technical and professional skills, including how to:
- Analyse and interpret data to generate actionable insights
- Design data models and manage databases efficiently
- Ensure data security and compliance with legal standards- Create reports and visualisations that bring data to life
- Stay up to date with the latest tools and technologiesOver 42 months, you’ll combine hands-on experience with academic study, working towards a BSc (Hons) in Digital & Technology Solutions (Data Analyst pathway). From day one, you’ll be part of a supportive team that values curiosity, innovation, and continuous learning. You’ll start by mastering the foundations of data analysis and progress to tackling advanced analytics tasks. One day you might be optimising delivery routes, the next you could be building dashboards or modelling forecasts that shape strategic direction. You’ll spend 80% of your time learning on the job and 20% completing formal study, supported by your training provider and your Amazon manager. Together, they’ll guide your progress and help you achieve your goals.At Amazon, you’ll work alongside industry experts who are passionate about mentoring the next generation of data professionals. Our inclusive culture values diverse perspectives, encourages experimentation, and celebrates innovation. You’ll gain exposure to real projects that make an impact — and see the results of your work every day.We’re not looking for technical experts (yet) — we’re looking for potential. If you’re naturally curious, love solving problems, and enjoy finding meaning in numbers, this is the role for you. Bring your enthusiasm, analytical mindset, and drive to learn — we’ll provide everything else you need to succeed.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.

- To qualify for this programme, you must:
- Be 18 years or over before the start date (September 2026)
- Have the right to live and work in England (if you are on a visa, this needs to enable you to legally work and reside in England for the entire duration of the program).
- Have lived in the UK or in the European Economic Area (EEA) for the last 3 years
- Be a resident of the UK for the entire duration of the program
- Not be registered to study on a UK government funded course ending August 2026 or later
- Have at least 5 GCSEs C grade (grade 4) or above including Maths and English
- 2 A Level passes in 1 or more similar subject, OR Level 3 apprenticeship in a similar subject, OR International Baccalaureate at Level 3 in a similar subject, OR BTEC Extended Diploma in a similar subject.
- Please note, if you have received educational qualifications outside of the UK then we will require a Statement of Comparability to confirm your eligibility for the scheme. Please ensure you obtain one during the application process, through UK ENIC: https://www.enic.org.uk/
- Previous qualifications will be reviewed for funding eligibility and offers are subject to funding approval
- PLEASE NOTE: This position is a 42 month fixed-term contract. You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship.
- This Apprenticeship assumes the candidate has some or little knowledge/experience of the occupation

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically exceptional with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- 5+ years of practical work applying ML to solve complex problems experience
- Graduate degree in with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
- 7+ years of combined academic and research experience
- Strong publication record in top-tier journals and conferences
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Experience programming in Java, C++, Python or related language
- Excellent written and spoken communication skills

- PhD with specialization in Artificial Intelligence, Natural Language Processing, Machine Learning, or Computational Cognitive Science
- 10+ years of combined academic and research experience
- First author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, or neural network architectures in top-tier journals and conferences
- Functional thought leader and sought after for key tech decisions
- Experience influencing decisions at an executive level
- Experience mentoring and training the research scientist community on complex technical issues
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Excellent written and spoken communication skills with successful delivery to customers

Every day will bring new and exciting challenges on the job while you:* Provide field support to resolve inquiries from Enterprise customers regarding AWS service or Cloud.
* Complete analysis and present periodic reviews of operational performance to customer
* Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
* Ensure AWS environments remain operationally healthy whilst reducing cost and complexity
* Foster trusting relationships with customers, understanding their business needs and technical challenges
* Lead technical discussions with senior leadership regarding incidents, trade-offs, and risk management
* Work directly with AWS global engineering and service teams to resolve customer issue.TAM 으로서 여러분은 대기업 고객 (ICT, 제조, 운송, 에너지 산업 등) 이 EC2, RDS, ECS/EKS, GenAI, 보안/거버넌스 등 다양한 AWS 서비스를 도입 및 사용할 수 있도록 전략의 수립 및 이행을 지원하게 됩니다. 기술적 및 고객 응대 역량을 발휘하여 고객사 환경 내에서 AWS를 효과적으로 대표하고 사고/장애, 트레이드 오프 및 리스크 관리에 대하여 시니어 리더십과의 논의를 주도합니다. 표준적인 방법론을 활용하여 솔루션 기획, 빌드에 있어 전략/기술적 방향성 및 변론을 제공하고, 고객의 AWS 운영 환경을 양호하게 유지하기 위해 적극적으로 개입합니다. 고객과 긴밀한 협력 관계를 구축하여 고객의 비즈니스/운영상의 필요와 기술적 해결 과제를 파악하고 AWS에서 최대한의 가치를 실현할 수 있도록 보조합니다.우리 팀에서는 IT 아키텍팅 및 운영 (OS/미들웨어/DB/네트워크 관리, 고객센터 시스템/어플리케이션 관리 등 유관 분야) 에 해박한 배경지식을 지닌 후보자를 찾고 있습니다. Enterprise Support 가 고객에게 가치를 제공함에 있어 TAM으로서 중점적 역할을 맡아 혁신의 최전선에서 함께 하고싶은 분이라면 누구나 환영입니다.여러분은 다음과 같은 직무를 수행하며 매일 새롭고 가슴 뛰는 도전을 하게 될 것입니다:* 현장 지원을 통해 AWS 서비스 및 클라우드 관련한 기업 고객의 요청/문의 해결
* 운영상의 퍼포먼스에 대한 완전한 분석 및 주기적 검토 결과를 고객에게 제공
* 서비스 중단, 지표 및 구체적인 론칭 전 계획에 대한 자세한 검토 수행
* 비용 및 복잡성을 낮추는 동시에 AWS 환경이 운영상 양호한 상태를 유지하도록 보장
* 고객과 신뢰관계를 구축하고 고객의 비즈니스 니즈 및 기술적 해결과제를 파악
* 사고/장애, 트레이드 오프 및 리스크 관리와 관련하여 시니어 리더십과 기술적 논의를 주도
* AWS 글로벌 엔지니어링 및 서비스 팀과 직접 협력하여 고객 이슈 해결A day in the lifeDiverse 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.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* 해당 직무는 Korea Enterprise Support 팀 소속입니다. Enterprise Support팀은 아마존 웹 서비스(AWS) 내에서 가장 빠르게 성장하고 있는 조직 중 하나로 산업 부문이나 규모를 막론하고 모든 고객사가 AWS로부터 최선의 가치와 서비스를 제공받을 수 있도록 지원합니다. AWS Enterprise Support 팀에서는 컴퓨트, 스토리지, 데이터베이스, GenAI, 애플리케이션 레벨 서비스, 네트워킹, 서버리스 등 다양한 테크놀로지 영역 전반에서 고객의 혁신을 함께할 Technical Account Manager (TAM)을 채용 중입니다. TAM은 세일즈 직무가 아니며, 주요한 기술 고문이 될 수 있는 기회로서 스타트업에서 대기업에 이르기까지 디지털 전환의 여정을 이제 막 시작한, 또는 이어 나가고 있는 다양한 규모의 고객에게 ‘고객의 목소리’가 되어줄 수 있습니다.

- 7+ years of experience in IT system architecture, implementation, operations, and consulting, with a focus on distributed applications.
- Experience working for enterprise IT companies or with mission-critical enterprise business customers.

- Experience with operating and troubleshooting in at least three of the following areas: compute, storage, networking, CDN, databases, DevOps, big data and analytics, security, or application development in a distributed systems environment.
- Fluent business communication skills in English.
- Bachelor’s Degree in Computer Science, Math, or related discipline required, or equivalent work experience.

We’re looking for someone who:
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.- Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilities
- Build and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo- Enable data access, literacy and self-sufficiency: You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of SQL experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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 below, 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.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.

- 2+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- 2+ years of experience of Data platform implementation
- Hands on experience with building data or machine learning pipeline
- Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

Key job responsibilities

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- PhD in computer science, machine learning, engineering, or related fields
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains

We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.
Key job responsibilities
Specifically, the Research Scientist will:
• Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Clean, analyze and select speech/language/other data to achieve goals
• Build and test models that elevate the customer experience
• Collaborate with colleagues from science, engineering and business backgrounds
• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
• Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in Python, Perl, or another scripting language
- Experience with various machine learning techniques and parameters that affect their performance
- Experience analyzing both experimental and observational data sets