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- Tasks: Lead hands-on analysis and strategic thinking in AI auditing.
- Company: Exciting AI-auditing tech firm with big-name investors.
- Benefits: Competitive salary, hybrid working, generous holiday allowance, and personal development budget.
- Why this job: Shape the future of AI assurance in a fast-growing, innovative company.
- Qualifications: 5+ years experience in data science, strong Python skills, and expertise in responsible AI.
- Other info: Join a small, dynamic team and help define the analytical function.
The predicted salary is between 100000 - 120000 £ per year.
Salary £100 – 120,000 base + substantial stock
Fantastic opportunity for a Data Scientist who thrives on project ownership to join a growing AI‑auditing tech firm. Founded in 2023, and backed by some big‑name investors, my client has built a trusted platform for safe and responsible deployment of AI systems. Their continuous auditing of AI models ensures transparency, independent oversight and fairness in HR and HR tech.
Reporting to the CTO and working collaboratively with the founders & product team, this role will involve hands‑on analysis, methodological design and strategic thinking. You will define and elevate the analytical standards used in the evaluation of high‑stakes AI systems, leading to increased customer confidence and further success. As an early data hire, you will help shape the way in which the analytical function evolves and the scope of your own role. Currently an intentionally small, focused company of five people, they are looking to grow to 10 by mid‑2026. Come and be a part of something special.
Skills and Experience Required
- 5+ years’ professional experience, with strong Python skills for analytical work
- Deep‑level expertise in at least one of the following areas: AI bias & responsible AI, including fairness evaluation, model assessment, or design of responsible‑AI practices in applied settings
- HR analytics or I-O psychology, with experience in selection processes, adverse impact analysis, validity considerations, or defensible evaluation practices
- Statistically rigorous analytical work in regulated or high‑stakes environments; with fluency in statistical reasoning, demonstrated through defensible, reproducible analysis
- Outstanding communication skills, adaptable to a variety of audiences
- A collaborative, pragmatic mindset, skilled at tackling open‑ended analytical problems
- Motivated to help shape AI assurance going forward
Rewards and Incentives
- Join a fast‑growing, agile, diverse company, passionate about innovation
- Hybrid working – 3 days / week in London office
- Generous holiday allowance & budget for personal learning & development
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Senior Data Scientist employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI bias and responsible AI. 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 analytical skills and being ready to discuss your experience with high-stakes environments. Practice explaining complex concepts in simple terms to demonstrate your outstanding communication skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with AI bias, responsible AI practices, and any relevant HR analytics work. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI auditing and how you can contribute to our growing team. Be genuine and let your personality come through.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've applied them in real-world scenarios. Share examples of your hands-on analysis and strategic thinking that led to successful outcomes.
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. Plus, it’s super easy!
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 and responsible AI practices. Prepare specific examples of your past work that demonstrate your analytical prowess and how you've tackled high-stakes problems.
✨Showcase Your Communication Skills
Since the role involves collaborating with various teams, practice explaining complex concepts in simple terms. Think about how you can adapt your communication style to different audiences, whether they’re technical or non-technical.
✨Be Ready for Open-Ended Questions
Expect some open-ended analytical problems during the interview. Prepare to think on your feet and showcase your pragmatic mindset. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Passion for AI Assurance
Show genuine enthusiasm for shaping the future of AI assurance. Research the company’s mission and values, and be prepared to discuss how your goals align with theirs. This will help you stand out as a candidate who is not just looking for a job, but is excited about contributing to their vision.
