At a Glance
- Tasks: Lead hands-on analysis and design strategies for responsible AI deployment.
- Company: Exciting AI start-up focused on transparency and fairness in tech.
- Benefits: Competitive salary, hybrid work, generous holiday, and personal development budget.
- Other info: Join a small, passionate team and grow your career in a fast-paced setting.
- Why this job: Shape the future of AI assurance in a dynamic, innovative environment.
- Qualifications: 5+ years experience in data science with strong Python skills.
The predicted salary is between 56250 - 68750 £ per year.
Salary: £100 - 120,000 base + substantial stock
Summary: 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- Innovative AI Start-Up | London, UK employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist- Innovative AI Start-Up | London, UK
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We think you need these skills to ace Senior Data Scientist- Innovative AI Start-Up | London, UK
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oxford Knight, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oxford Knight. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oxford Knight
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oxford Knight!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
