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- Tasks: Lead AI auditing projects and define analytical standards for innovative AI systems.
- Company: Dynamic AI auditing firm in Greater London with a focus on responsible AI.
- Benefits: Hybrid work model, generous benefits, and opportunities for professional growth.
- Why this job: Shape the future of AI analytics while making a real impact in a small team.
- Qualifications: 5+ years of experience, strong Python skills, and expertise in AI bias or HR analytics.
- Other info: Join a pioneering team and take ownership of exciting projects.
The predicted salary is between 48000 - 72000 £ per year.
An innovative AI auditing firm in Greater London seeks a Data Scientist who thrives on project ownership. This role involves hands-on analysis and strategic thinking in defining analytical standards for AI systems.
Applicants should have:
- Over 5 years of experience
- Strong Python skills
- Expertise in AI bias or HR analytics
As a vital early hire in a small team, you will shape the analytical function's development, enjoying a hybrid work model and generous benefits.
Senior Data Scientist - AI Auditing & Responsible AI employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI Auditing & Responsible AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI auditing space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving AI bias or HR analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI auditing. We recommend practising common interview questions and scenarios related to data science.
✨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 Senior Data Scientist - AI Auditing & Responsible AI
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data science. We want to see how you've taken ownership of projects and made a real impact in your previous roles.
Demonstrate Your Skills: Your Python skills are crucial for this role, so don’t hold back! Include specific examples of how you've used Python in your work, especially in relation to AI bias or HR analytics.
Be Strategic: We’re looking for someone who can think strategically about analytical standards for AI systems. Share your thoughts on what that means and how you’ve applied strategic thinking in past projects.
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 get to know you better!
How to prepare for a job interview at Oxford Knight
✨Know Your Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with AI bias or HR analytics. Prepare specific examples of projects you've worked on that demonstrate your expertise, as this will show the firm that you can hit the ground running.
✨Show Your Strategic Thinking
Since this role involves defining analytical standards for AI systems, think about how you would approach this task. Be prepared to share your thoughts on best practices in AI auditing and how you would implement them in a small team setting.
✨Project Ownership is Key
This position requires someone who thrives on project ownership. Come equipped with stories that highlight your ability to take charge of projects, manage timelines, and deliver results. This will demonstrate your readiness to shape the analytical function from the get-go.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI auditing and how they see the role evolving. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
