Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Define and validate AI systems using advanced statistical methods.
- Company: Harnham, a leader in AI and data science innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with founders in a dynamic and innovative environment.
- Why this job: Shape the future of AI with your expertise in a high-impact role.
- Qualifications: Strong background in statistics and experience in AI evaluation.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is seeking a foundational Senior Data Scientist to help define how AI systems are evaluated and validated. This role combines deep statistical expertise with product thinking to develop robust methodologies essential for high-stakes environments.
Responsibilities include:
- Defining statistical testing frameworks
- Designing AI evaluation methodologies
- Collaborating closely with the company's founders
The position offers a hybrid work model, requiring three days in the London office.
Responsible AI Data Scientist: Fairness & Validation in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Responsible AI Data Scientist: Fairness & Validation 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 get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for data scientists, especially around fairness and validation in AI. Practise your answers and think of examples from your past work that showcase your skills.
✨Tip Number 3
Showcase your projects! If you've worked on any AI evaluation methodologies or statistical testing frameworks, make sure to highlight these in conversations. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from our platform, and it gives us a chance to connect with you more personally. Plus, it’s super easy to keep track of your application status!
We think you need these skills to ace Responsible AI Data Scientist: Fairness & Validation in London
Some tips for your application 🫡
Show Your Statistical Skills: Make sure to highlight your deep statistical expertise in your application. We want to see how you can apply these skills to develop robust methodologies for AI evaluation and validation.
Demonstrate Product Thinking: In your written application, showcase your ability to think like a product expert. Explain how your data science work can directly impact product development and decision-making.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to our specific role. Mention how your experience aligns with defining statistical testing frameworks and designing AI evaluation methodologies.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨Know Your Stats
Brush up on your statistical knowledge, especially around testing frameworks and methodologies. Be ready to discuss how you would apply these concepts in real-world scenarios, particularly in high-stakes environments.
✨Showcase Your Product Thinking
Prepare examples of how you've combined technical expertise with product thinking in past roles. Think about how you can articulate the importance of user-centric design in AI systems during your interview.
✨Collaborate Like a Pro
Since this role involves working closely with founders, be prepared to discuss your experience in collaborative settings. Highlight instances where you’ve successfully worked with cross-functional teams to achieve a common goal.
✨Hybrid Work Mindset
Understand the dynamics of hybrid work. Be ready to talk about how you manage your time and productivity when working both remotely and in the office, as this will be crucial for the role.