Data Scientist, AWS Industries
Data Scientist, AWS Industries

Data Scientist, AWS Industries

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team of experts to solve real-world problems using cutting-edge Generative AI.
  • Company: AWS is the leading cloud platform, trusted by startups and Global 500 companies alike.
  • Benefits: Enjoy work-life balance, flexible working culture, and endless mentorship opportunities.
  • Why this job: Be part of innovative projects that make a significant impact in various industries.
  • Qualifications: 2+ years as a data scientist with experience in SQL, Python, and machine learning techniques.
  • Other info: Diverse experiences are valued; apply even if you don't meet all qualifications.

The predicted salary is between 43200 - 72000 £ per year.

Job ID: 2807449 | AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key Job Responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. Basic Qualifications 2+ years of data scientist experience and 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.). 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. Bachelor\’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Preferred Qualifications PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools. 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. Posted: December 19, 2024 (Updated 6 days ago) #J-18808-Ljbffr

Data Scientist, AWS Industries employer: Amazon

At AWS, we are at the cutting edge of Machine Learning and AI, providing our Data Scientists with the opportunity to work on transformative projects that have a real-world impact. Our inclusive work culture promotes work-life harmony and offers extensive mentorship and career growth resources, ensuring that every employee can thrive both personally and professionally. Join us in a dynamic environment where your innovative ideas will shape the future of generative AI solutions for our diverse range of customers.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist, AWS Industries

✨Tip Number 1

Familiarize yourself with the latest trends in Generative AI and Machine Learning. Follow industry leaders on platforms like LinkedIn and Twitter to stay updated on new algorithms and applications that could be relevant to the AWS Industries team.

✨Tip Number 2

Engage with the AWS community by participating in forums, webinars, and local meetups. This will not only expand your network but also give you insights into how other professionals are implementing generative AI solutions.

✨Tip Number 3

Prepare to discuss real-world applications of generative AI during your interviews. Think of specific examples where you've used machine learning techniques to solve complex problems, as this aligns with the hands-on approach of the AWS Industries team.

✨Tip Number 4

Showcase your ability to communicate complex technical concepts to non-technical stakeholders. Practice explaining your past projects in a way that highlights their business impact, as this is crucial for interacting with customers at AWS.

We think you need these skills to ace Data Scientist, AWS Industries

Machine Learning
Generative AI
Data Analysis
Statistical Modeling
Deep Learning
Large Language Models (LLMs)
Python
SQL
R
SAS
Matlab
Experiment Design
Customer Interaction
Technical Communication
Problem-Solving Skills
Collaboration
Adaptability
Cloud Computing
AWS Tools and Services

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your experience with machine learning, data analysis tools, and generative AI. Use specific examples from your past work that demonstrate your ability to solve real-world problems using these technologies.

Tailor Your CV: Customize your CV to align with the job description. Focus on your quantitative skills, programming languages like Python, and any experience you have with AWS tools or deep learning techniques. This will help you stand out as a strong candidate.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Discuss how your background and skills make you a perfect fit for the AWS Industries team and how you can contribute to their mission of implementing generative AI solutions.

Showcase Your Communication Skills: Since the role involves direct interaction with customers, highlight your ability to communicate complex technical concepts clearly. Provide examples of how you've successfully delivered presentations or tutorials in the past.

How to prepare for a job interview at Amazon

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data querying languages like SQL and scripting languages such as Python. Highlight specific projects where you applied machine learning techniques or statistical modeling, especially in real-world scenarios.

✨Demonstrate Your Problem-Solving Ability

Prepare examples of how you've tackled complex problems using generative AI or other machine learning methods. Be ready to explain your thought process and the impact of your solutions on business outcomes.

✨Engage with Customer Scenarios

Since this role involves direct interaction with customers, think of ways you've previously engaged with clients to understand their needs. Discuss how you helped them implement AI solutions and the results achieved.

✨Emphasize Collaboration and Communication

The AWS Industries team values collaboration. Be ready to share experiences where you worked with cross-functional teams, including engineers and architects, to develop and deliver AI solutions. Highlight your ability to communicate complex concepts to both technical and non-technical stakeholders.

Data Scientist, AWS Industries
Amazon
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  • Data Scientist, AWS Industries

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-01-30

  • A

    Amazon

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