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- Tasks: Set analytical standards for evaluating AI systems and define fairness metrics.
- Company: Tech-driven AI firm in London focused on responsible AI.
- Benefits: Hybrid working, 33 days holiday, and a transformative work environment.
- Why this job: Shape the future of AI with a focus on fairness and responsibility.
- Qualifications: Strong background in AI bias, responsible AI, and fluency in Python.
- Other info: Join a dynamic team dedicated to ethical AI practices.
The predicted salary is between 48000 - 72000 £ per year.
A tech-driven AI firm in London is hiring a Senior Data Scientist to set analytical standards for evaluating high-stakes AI systems. This role involves defining statistical tests and fairness metrics, translating regulations into practical audit procedures, and guiding the evolution of data capabilities.
A strong background in AI bias and responsible AI, along with fluency in Python, is required. The position offers hybrid working conditions and 33 days of holiday, contributing to a transformative approach to AI adoption.
Senior Data Scientist - Responsible AI & Fairness Expert in London employer: Warden AI Ltd.
Contact Detail:
Warden AI Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Responsible AI & Fairness Expert in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion for responsible AI.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of AI bias and fairness metrics. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, especially in Python and responsible AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to contribute to a transformative approach to AI adoption.
We think you need these skills to ace Senior Data Scientist - Responsible AI & Fairness Expert in London
Some tips for your application 🫡
Show Your Passion for Responsible AI: When writing your application, let us see your enthusiasm for responsible AI and fairness. Share any relevant projects or experiences that highlight your commitment to these principles, as this is key for the role.
Be Clear and Concise: We appreciate clarity! Make sure your application is straightforward and to the point. Use bullet points where necessary to make your skills and experiences stand out, especially your expertise in Python and statistical tests.
Tailor Your Application: Don’t just send a generic application. Tailor it to the job description by aligning your skills with the specific requirements mentioned, like your experience with AI bias and defining fairness metrics. This shows us you’ve done your homework!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us during the hiring process.
How to prepare for a job interview at Warden AI Ltd.
✨Know Your AI Bias
Make sure you brush up on the latest trends and research in AI bias and responsible AI. Be ready to discuss specific examples of how you've tackled these issues in your previous roles, as this will show your depth of knowledge and commitment to fairness in AI.
✨Showcase Your Python Skills
Since fluency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data science tasks and be ready to explain your thought process clearly.
✨Understand the Regulations
Familiarise yourself with current regulations surrounding AI and data usage. Be prepared to discuss how you would translate these regulations into practical audit procedures, as this will highlight your ability to bridge the gap between compliance and technical implementation.
✨Prepare Questions About Data Capabilities
Think about what questions you have regarding the company's data capabilities and their approach to evolving them. This shows your interest in the role and helps you assess if the company aligns with your values and career goals.
