Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge Generative AI solutions for global industrial clients.
- Company: C3 AI is a leading enterprise AI software company transforming industries with innovative AI applications.
- Benefits: Enjoy competitive pay, excellent benefits, and the chance to work remotely.
- Why this job: Join a dynamic team driving digital transformation with next-gen AI technology and impactful projects.
- Qualifications: MS or PhD in relevant fields; strong skills in Python, machine learning, and Generative AI models required.
- Other info: C3 AI values diversity and is committed to equal opportunity for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Data Scientist/Senior Data Scientist – Generative AI role at C3 AI
Join to apply for the Data Scientist/Senior Data Scientist – Generative AI role at C3 AI
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.
Qualified candidates will have an in-depth knowledge of the most common Large Language Models (LLMs) and Retrieval Methods, and know how to design and implement LLM-powered agents and tools at scale.
Responsibilities
Design and deploy Generative AI solutions, such as information retrieval and coding assistance, for industrial customers.
Collaborate with Generative AI subject matter experts from C3 AI, its customer teams, and academia to identify, design, and implement innovative and differentiated solutions using cutting-edge research on LLMs and Generative AI.
Drive the adoption and scalability of Generative AI offerings within C3 AI products.
Qualifications
MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Proficiency in Python and object-oriented programming.
Strong experience working with machine learning and natural language processing techniques and tools.
Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.
Strong experience with retrieval methods g. using embeddings.
Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
Experience in Prompt Engineering and few-shot techniques to enhance LLM\’s performance on specific tasks.
Experience implementing and designing robust, modular frameworks and systems that are easy to extend, test, and maintain.
Ability to drive a project and work both independently and within a cross-functional team.
Smart, motivated, can-do attitude, innovative and seeks to make a difference in a fast-paced environment.
Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience.
Preferred Qualifications
Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
Experience architecting scalable agent frameworks with clear, intuitive interfaces and built-in resilience—delivering production-grade reliability and a seamless developer and end-user experience.
Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
C3 AI provides excellent benefits and a competitive compensation package.
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at C3 AI by 2x
Get notified about new Senior Data Scientist jobs in London, England, United Kingdom .
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 day ago
Marketing Data Scientist – Digital Business – London Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 3 months ago
London, England, United Kingdom 1 day ago
Data Science Manager – UK Remote Working London, England, United Kingdom 1 month ago
Manager / Senior Manager of Data Science London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 1 day ago
Manager, Lead Research Scientist, Training Data (Foundational Research) London, England, United Kingdom 6 days ago
Senior Manager – Data Science and Engineering Team Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 5 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 1 week ago
Data Science Manager – Tax Technology and Transformation London, England, United Kingdom 1 week ago
Northolt, England, United Kingdom 4 days ago
We\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Data Scientist/Senior Data Scientist – Generative AI employer: C3 AI
Contact Detail:
C3 AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist/Senior Data Scientist – Generative AI
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and Large Language Models (LLMs). Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and data science community. Attend relevant meetups, webinars, or conferences where you can connect with current employees at C3 AI or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your practical experience with Python and machine learning frameworks. Be ready to discuss specific projects where you've implemented LLMs or generative models, as this will highlight your hands-on skills and problem-solving abilities.
✨Tip Number 4
Brush up on your project management skills. Since the role requires collaboration with various teams, being able to articulate your experience in managing projects and working in a team environment will be crucial during the interview process.
We think you need these skills to ace Data Scientist/Senior Data Scientist – Generative AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Generative AI and Large Language Models. Use specific examples of projects you've worked on that demonstrate your skills in Python, machine learning, and natural language processing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience with LLMs and generative AI solutions.
Showcase Your Projects: If you have any personal or professional projects related to Generative AI, include them in your application. Provide links to GitHub repositories or project demos that showcase your ability to design and implement AI solutions.
Highlight Communication Skills: Since the role requires explaining complex concepts to non-technical audiences, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've successfully communicated technical information in previous roles.
How to prepare for a job interview at C3 AI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Large Language Models and generative AI. Highlight specific projects where you've implemented these technologies, and be ready to explain the methodologies you used in a clear and concise manner.
✨Demonstrate Collaboration Experience
Since the role involves working with researchers and subject matter experts, share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate complex concepts to non-technical audiences, as this will be crucial in your interactions.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling challenges related to generative AI solutions, and consider discussing how you would approach designing and deploying such systems.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in generative AI and machine learning. Being knowledgeable about current trends and tools will not only impress your interviewers but also demonstrate your passion for the field and your commitment to continuous learning.
