Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate with experts to design and implement cutting-edge generative AI solutions.
- Company: Join AWS, a leader in cloud computing and AI innovation.
- Benefits: Enjoy a fast-paced environment with opportunities for growth and impactful projects.
- Why this job: Be at the forefront of AI technology, solving real-world problems with significant impact.
- Qualifications: 2+ years as a data scientist and experience with SQL, Python, and machine learning tools required.
- Other info: Diversity is valued; we encourage applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
DESCRIPTION
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 customers implement Generative AI solutions and realize transformational business opportunities 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 and 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 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, and 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 implementation of generative AI solutions, deliver briefing and deep dive sessions, 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 data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques experience.
- 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 machine learning/statistical modeling data analysis tools and techniques experience.
- 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.#J-18808-Ljbffr
Data Scientist, AWS Industries employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK 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 advancements in Generative AI and machine learning. Being able to discuss recent breakthroughs or trends during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the AWS community by participating in forums, webinars, or local meetups focused on AI and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your hands-on experience with deep learning frameworks and tools, especially those relevant to AWS. Be ready to discuss specific projects where you applied these technologies to solve real-world problems.
✨Tip Number 4
Understand the business implications of generative AI solutions. Be prepared to articulate how your work can create value for customers and contribute to their success, as this aligns with the role's focus on customer interaction.
We think you need these skills to ace Data Scientist, AWS Industries
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Data Scientist position. Familiarize yourself with generative AI, machine learning techniques, and the AWS platform to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data querying languages, machine learning, and any hands-on projects involving generative AI or deep learning. Use specific examples to demonstrate your skills and achievements.
Showcase Your Communication Skills: Since the role involves direct interaction with customers, highlight your ability to communicate complex technical concepts to non-technical stakeholders. Mention any experience in delivering presentations, writing tutorials, or creating documentation.
Tailor Your Application: Customize your cover letter to reflect your passion for AI and your understanding of how it can solve real-world problems. Mention why you are excited about the opportunity to work with AWS Industries and how you can contribute to their mission.
How to prepare for a job interview at ENGINEERINGUK
✨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 and how they contributed to solving real-world problems.
✨Demonstrate Your Understanding of Generative AI
Since the role focuses on generative AI, familiarize yourself with the latest algorithms and their applications. Be ready to discuss how you've used or would use these technologies to create impactful solutions for customers.
✨Engage with Customer Scenarios
Expect to interact with hypothetical customer scenarios during the interview. Practice articulating how you would approach understanding their business problems and guide them in implementing generative AI solutions effectively.
✨Prepare for Collaborative Discussions
Collaboration is key in this role. Be ready to share examples of how you've worked with cross-functional teams, including AI/ML scientists and engineers, to develop and evaluate machine learning systems.
