At a Glance
- Tasks: Lead the design and deployment of cutting-edge machine learning algorithms for enterprise applications.
- Company: Join C3 AI, a leader in Enterprise AI software with a collaborative culture.
- Benefits: Enjoy competitive pay, equity options, and excellent benefits.
- Other info: Dynamic team environment with opportunities for growth and travel.
- Why this job: Make a real impact by transforming businesses with innovative AI solutions.
- Qualifications: MS or PhD in relevant fields and experience with machine learning techniques.
The predicted salary is between 63000 - 77000 £ 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 Saa S 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 AIAs 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 Ph D in Computer Science, Electrical Engineering, Statistics, Operations Research, or a related field.
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 (Map Reduce, 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 Java Script and prototyping languages such as Python and R.
Experience with Java and Scala is a plus.
A portfolio of projects (Git Hub, 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.
Data Scientist / Senior Data Scientist in London employer: C3 IoT
C3 AI is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists can thrive while working on cutting-edge AI applications for some of the world's largest companies. With a strong emphasis on employee growth, C3 AI offers competitive compensation, generous equity plans, and opportunities to lead impactful projects in a dynamic environment. Located in a vibrant tech hub, employees benefit from a supportive community that encourages continuous learning and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Senior Data Scientist in London
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We think you need these skills to ace Data Scientist / Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at C3 IoT, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at C3 IoT. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at C3 IoT
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at C3 IoT!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
