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For Companies At a Glance
- Tasks: Join a team of experts to develop and implement cutting-edge generative AI solutions.
- Company: Be part of AWS, a leader in cloud computing and innovative technology.
- Benefits: Enjoy opportunities for remote work, professional growth, and impactful projects.
- Why this job: Work on game-changing AI projects that solve real-world problems and drive business transformation.
- Qualifications: Bachelor's or Master's in a quantitative field; experience in data science and machine learning required.
- Other info: Diversity is valued; Amazon is committed to equal opportunity employment.
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 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
As a Senior Data Scientist, you will:
- 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
- Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master’s degree.
- Experience working as a Data Scientist.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).
- Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
- Experience applying theoretical models in an applied environment.
PREFERRED QUALIFICATIONS
- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
- 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 or equivalent cloud experience.
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
Sr. Data Scientist, AWS Industries employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Scientist, AWS Industries
✨Tip Number 1
Familiarize yourself with the latest advancements in Generative AI and machine learning. Stay updated on recent research papers, attend webinars, and participate in relevant online communities to deepen your understanding and showcase your passion during interviews.
✨Tip Number 2
Build a portfolio of projects that demonstrate your ability to apply machine learning algorithms to real-world problems. Focus on showcasing your experience with deep learning techniques and any work you've done with Large Language Models (LLMs) to stand out.
✨Tip Number 3
Network with professionals in the AI/ML field, especially those who have experience with AWS. Attend industry conferences, meetups, or online forums to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 4
Prepare to discuss specific use cases where you have successfully implemented generative AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills and practical experience.
We think you need these skills to ace Sr. Data Scientist, AWS Industries
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Senior Data Scientist position. Tailor your application to highlight relevant experiences in machine learning, generative AI, and customer interaction.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data scripting languages, machine learning techniques, and any hands-on work with deep learning models. Provide specific examples of projects where you've applied these skills.
Showcase Your Communication Skills: Since the role involves direct interaction with customers, demonstrate your ability to communicate complex technical concepts clearly. Include examples of presentations, tutorials, or publications you've created for diverse audiences.
Tailor Your Application: Customize your cover letter to reflect your passion for generative AI and how it can solve real-world problems. Mention your understanding of AWS tools and platforms, and how you can contribute to the team's goals.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data scripting languages like SQL, Python, or R. Highlight specific projects where you applied machine learning techniques and how they contributed to solving real-world problems.
✨Understand 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 value for customers.
✨Engage with Customer Scenarios
Demonstrate your ability to interact with customers by discussing past experiences where you understood their business challenges and provided tailored solutions. Prepare examples that showcase your communication skills and customer-centric approach.
✨Prepare for Problem-Solving Questions
Expect to tackle hypothetical scenarios related to machine learning and AI. Practice articulating your thought process in designing experiments or optimizing models, as this will show your analytical capabilities and innovative thinking.
