At a Glance
- Tasks: Develop machine learning models and collaborate on data-driven projects.
- Company: Fast-growing tech company in London focused on AI and analytics.
- Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
- Why this job: Join a dynamic team and make a real impact with data science.
- Qualifications: Masters or PhD in STEM, proficiency in Python, and strong analytical skills.
- Other info: Work in a collaborative environment with exciting career development.
The predicted salary is between 64000 - 76000 £ per year.
IT & Technology Recruitment Manager | Connecting Top Tech Talent with Leading UK BusinessesCV Technical are partnered with a scaling AI Start-up who are looking for an experienced Senior Data Scientist to help define and uphold the analytical standards used to evaluate high-stakes AI systems.
This role sits at the intersection of fairness and bias evaluation, rigorous statistical analysis, and applied understanding of hiring and selection processes.
You\’ll work closely with senior technical leadership, founders, and product teams across hands‐on analysis, methodological design, and strategic thinking. As one of the earliest data hires, you\’ll have significant autonomy to shape both the analytical function and the scope of the role as the organisation grows.
What you\’ll work on:
Defining and maintaining rigorous analytical methodologies, including statistical tests, fairness metrics, sampling strategies, and validation practices.
Translating regulations, standards, and guidance into clear, defensible evaluation and audit procedures.
Designing foundations for consistent, high-quality audit execution, including datasets, workflows, and reusable analysis frameworks.
Taking a long‐term view on emerging risks, regulatory shifts, and industry trends, and helping evolve the organisation\’s AI assurance approach.
Anticipating future data and analytical capabilities needed as products and regulations mature.
Establishing principles for interpreting results, handling uncertainty, and communicating limitations clearly and responsibly.
Supporting high‐stakes stakeholder conversations with technical authority and contextual insight.
Contributing to documentation, external‐facing explanations, and thought leadership content to build credibility and trust.
What we\’re looking for:
5+ years of senior‐level experience
Expertise in either Responsible AI, Psychology or HR Analytics
Comfort working with ambiguity and open‐ended analytical problems
A rigorous, evidence‐driven mindset with a focus on defensibility and clarity
A collaborative, high‐ownership approach to work
Awareness of evolving regulations, standards, and industry expectations
If you\’re looking to impact businesses with cutting edge responsible AI, please apply directly.
Please note, this role is based in London, UK. You will be required to work from the office on a hybrid basis. Sponsorship is not available for this role.
Referrals increase your chances of interviewing at CV Technical LTD by 2x.
Seniority levelMid‐Senior level
Employment typeFull‐time
Job functionInformation Technology
IndustriesStaffing and Recruiting
#J-18808-Ljbffr
Senior Data Scientist employer: CV Technical Ltd
Contact Detail:
CV Technical Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects and data science skills. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and discussing your past projects. Be ready to explain your thought process and how you tackle problems. Remember, they want to see how you think, not just the final answer!
✨Apply Through Us!
Don't forget to apply through our website! We’re here to help you land that Senior Data Scientist role. Plus, we know the ins and outs of the company and can give you tips to stand out during the application process.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning models, Python, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on interesting data projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We’re keen to see your hands-on experience and how you tackle real-world challenges with data.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity with us!
How to prepare for a job interview at CV Technical Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in real-world scenarios, as this will show your practical experience and understanding of the field.
✨Show Off Your Collaboration Skills
Since you'll be working with engineers and product managers, prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data findings to both technical and non-technical audiences.
✨Stay Current with Trends
Familiarise yourself with the latest developments in AI and data science methodologies. Being able to discuss recent advancements or trends can demonstrate your passion for the field and your commitment to continuous learning.
✨Prepare for Problem-Solving Questions
Expect to tackle some analytical challenges during the interview. Practice explaining your thought process when solving ambiguous problems, as this will showcase your strong analytical and problem-solving abilities.