Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Establish analytical standards and influence product decisions in AI systems.
- Company: Cutting-edge AI company based in London with a focus on innovation.
- Benefits: Generous benefits package, including 33 days holiday and a learning budget.
- Why this job: Join a dynamic team and shape the future of AI with your expertise.
- Qualifications: 5+ years in AI bias, statistical analysis, and fluent in Python.
- Other info: Enjoy a hybrid working model and excellent career development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge AI company in London is seeking a Senior Data Scientist to establish analytical standards for evaluating AI systems. This role involves hands-on analysis, methodological design, and strategic influence on product decisions.
The ideal candidate has over 5 years of experience in AI bias and statistical analysis, and must be fluent in Python.
This position offers a hybrid working model and a generous benefits package inclusive of 33 days holiday and a learning budget.
Hybrid: Senior Responsible AI Data Scientist employer: Warden AI
Contact Detail:
Warden AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid: Senior Responsible AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AI bias and statistical analysis. This will not only demonstrate your expertise but also make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding the latest trends in AI. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid: Senior Responsible AI Data Scientist
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in AI bias and statistical analysis. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Be Specific About Your Skills: Fluency in Python is a must, so let’s see those coding skills shine! Include specific examples of how you've used Python in your previous roles, especially in relation to AI systems.
Tailor Your Application: Don’t just send a generic application. We love it when candidates tailor their CVs and cover letters to reflect the job description. Show us how you can establish analytical standards and influence product decisions!
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 this exciting opportunity in our hybrid working model!
How to prepare for a job interview at Warden AI
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around bias and statistical analysis. Be ready to discuss your past projects and how you've tackled these issues. This shows you're not just knowledgeable but also passionate about responsible AI.
✨Show Off Your Python Skills
Since fluency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data manipulation techniques to impress them with your technical prowess.
✨Prepare for Methodological Design Questions
Expect questions that dive into your approach to methodological design. Think about how you would establish analytical standards for evaluating AI systems. Have examples ready that showcase your strategic influence on product decisions and how you’ve implemented these in previous roles.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company's approach to AI ethics and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
