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- 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 supportive 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 employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Responsible AI Data Scientist: Fairness & Validation
✨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 related to AI evaluation methodologies and statistical testing frameworks. Practise your answers, but keep it natural – we want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant AI or data science projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills.
✨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 are ready to make an impact in the AI space.
We think you need these skills to ace Responsible AI Data Scientist: Fairness & Validation
Some tips for your application 🫡
Show Off Your Stats Skills: Make sure to highlight your deep statistical expertise in your application. We want to see how you can apply those skills to develop robust methodologies for AI evaluation and validation.
Think Like a Product Person: Don’t just focus on the technical side; show us your product thinking too! Explain how your work can impact high-stakes environments and contribute to the overall success of our AI systems.
Collaborate and Communicate: Since this role involves working closely with our founders, emphasise your collaboration skills. Share examples of how you've successfully worked in teams to achieve common goals.
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 don’t miss out on any important updates from us!
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 data science with product development in the past. Think about how your insights have influenced product decisions and be ready to share these stories during the interview.
✨Collaborate Like a Pro
Since this role involves working closely with founders, demonstrate your collaborative skills. Prepare to discuss how you've successfully worked in teams, especially in cross-functional settings, and how you handle differing opinions.
✨Hybrid Work Mindset
Understand the dynamics of hybrid work. Be prepared to talk about how you manage your time and productivity when working both in the office and remotely. This shows that you're adaptable and can thrive in their work model.