At a Glance
- Tasks: Join the C3 AI team to develop AI-powered applications and drive innovation.
- Company: C3 AI, a leader in AI technology with a collaborative environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with excellent career advancement opportunities.
- Why this job: Make a real impact by working on cutting-edge AI projects with top companies.
- Qualifications: MS or Ph.D. in relevant fields and experience in applied machine learning.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
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. You will collaborate directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities that provide customers with the information they need to make proper decisions and enable their digital transformation. You will identify appropriate machine learning / data mining algorithms to address these questions and implement them on the C3 AI Platform to ensure scalability.
Qualified candidates will possess in-depth knowledge of common machine learning techniques and their applications, understand their limitations, and be able to adapt or derive new approaches to achieve similar results at scale.
Responsibilities
- Drive the adoption of Deep Learning systems into the next generation of C3 AI products.
- Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
- Collaborate 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 Ph.D. in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
- Experience with prototyping languages such as Python and R.
- 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 Java.
- Experience with time series and dynamical systems.
- A portfolio of projects (GitHub, papers, etc.).
Data Scientist / Senior Data Scientist employer: C3 AI
C3 AI is an exceptional employer for Data Scientists, offering a dynamic work environment where innovation thrives. With a strong focus on employee growth and collaboration, you will have the opportunity to work alongside industry leaders on cutting-edge AI applications that drive digital transformation for major enterprises. Our culture promotes continuous learning and provides unique advantages such as access to advanced technologies and a supportive team atmosphere, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at C3 AI on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Data Science team.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to industrial applications. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the C3 AI team.
We think you need these skills to ace Data Scientist / Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning techniques and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:If you have a portfolio of projects, especially on platforms like GitHub, make sure to include that in your application. We love seeing practical examples of your work and how you've applied your skills in real-world scenarios.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how you can contribute to our team. Keep it engaging and let your personality come through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at C3 AI
✨Know Your Algorithms
Make sure you brush up on your machine learning techniques. Be ready to discuss common algorithms, their applications, and limitations. Prepare to explain how you've used these in past projects, especially in relation to deep learning and scalable ML.
✨Showcase Your Projects
Bring along a portfolio of your work, whether it's GitHub repositories or published papers. This is your chance to demonstrate your applied machine learning experience and problem-solving skills. Be prepared to walk through your projects and the impact they had.
✨Collaborative Mindset
Since the role involves working with data scientists and subject matter experts, highlight your teamwork skills. Share examples of how you've successfully collaborated on projects, and be ready to discuss how you approach understanding and validating new data elements.
✨Communicate Clearly
Strong verbal and written communication is key. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical stakeholders. Consider preparing a few scenarios where you had to simplify your findings for a broader audience.
