At a Glance
- Tasks: Join our Data Science team to develop AI-powered applications for major global companies.
- Company: C3 AI is a leading Enterprise AI application software company transforming industries worldwide.
- Benefits: Enjoy competitive pay, excellent benefits, and opportunities for remote work.
- Other info: C3 AI values diversity and is an Equal Opportunity Employer.
- Why this job: Be part of cutting-edge AI projects that make a real impact on digital transformation.
- Qualifications: MS or PhD in relevant fields with applied machine learning experience required.
The predicted salary is between 43200 - 72000 £ per year.
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 data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected.
Responsibilities:
- Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.
- Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.
- Contribute to the design and implementation of new features of the C3 AI Suite.
- Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.
- Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
Qualifications:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).
- Strong mathematical background (linear algebra, calculus, probability and statistics).
- Experience with scalable ML (MapReduce, streaming).
- Ability to drive a project and work both independently and in a team.
- Smart, motivated, can do attitude, and seeks to make a difference.
- Excellent verbal and written communication.
Preferred Qualifications:
- Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.
- A portfolio of projects (GitHub, papers, etc.) is a plus.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Senior Data Scientist in London
✨Tip Number 1
Familiarise yourself with the C3 AI Suite and its applications. Understanding how their platform works and the specific products they offer will give you an edge in interviews, as you'll be able to discuss how your skills can directly contribute to their projects.
✨Tip Number 2
Showcase your experience with machine learning algorithms by preparing examples of past projects. Be ready to discuss how you've implemented these algorithms in real-world scenarios, especially in areas like fraud detection or predictive maintenance, which are relevant to the role.
✨Tip Number 3
Network with current or former employees of C3 AI on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, and they might even share tips on how to stand out during the hiring process.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills during the interview. C3 AI values candidates who can think critically and work collaboratively, so be ready to tackle hypothetical scenarios or case studies that showcase your analytical abilities.
We think you need these skills to ace Data Scientist / Senior Data Scientist in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Scientist position at C3 AI. Tailor your application to highlight relevant experiences and skills that align with their needs.
Highlight Relevant Experience:In your CV and cover letter, emphasise your applied machine learning experience, particularly in regression, classification, and any projects involving deep learning systems. Mention specific algorithms you've worked with and the impact of your contributions.
Showcase Your Skills:Include examples of your proficiency in programming languages like Python and R, as well as any experience with scalable ML techniques. If you have a portfolio of projects on GitHub or published papers, make sure to reference them in your application.
Craft a Compelling Cover Letter:Write a cover letter that not only outlines your qualifications but also conveys your enthusiasm for the role and the company. Discuss how your background and skills can contribute to C3 AI's mission of driving digital transformation through AI.
How to prepare for a job interview at C3 AI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and data analysis. Highlight specific projects where you've applied regression, classification, or deep learning techniques, especially in industrial applications like fraud detection.
✨Demonstrate Collaboration Experience
C3 AI values teamwork, so be ready to share examples of how you've collaborated with data scientists, software engineers, or subject matter experts. Discuss how you approached problem-solving in a team setting and the impact of your contributions.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your ability to apply machine learning concepts to real-world problems. Practice explaining your thought process clearly and logically, as communication is key in conveying complex ideas.
✨Research C3 AI and Its Products
Familiarise yourself with C3 AI's suite of products and their applications. Understanding their focus on enterprise AI and digital transformation will help you tailor your responses and demonstrate your genuine interest in the company.
