At a Glance
- Tasks: Own quality measurement for AI search, design evaluation systems, and improve user outcomes.
- Company: Dynamic tech company focused on impactful AI projects.
- Benefits: Competitive pay, career growth, flexible work, and a collaborative culture.
- Other info: Fast-paced environment with opportunities for meaningful impact and ownership.
- Why this job: Shape the future of AI while working on innovative technology solutions.
- Qualifications: Experience in evaluation systems, strong Python skills, and analytical mindset required.
The predicted salary is between 72000 - 88000 £ per year.
In a rapidly evolving world, trust in AI depends on agents being grounded in fresh, verified real‑world data. Search is the foundation that makes this possible. We’re looking for an experienced Data Analyst who has built evaluation systems for complex technology products and is excited to take end‑to‑end ownership of quality in search built for AI agents. This role combines hands‑on engineering, analytical judgment, and mathematical rigor, with the scope and influence to shape both technical decisions and product direction.
Responsibilities:
- Own the quality measurement and improvement cycle end‑to‑end: identify user needs, define success, build evaluations, diagnose failures, and work with engineers and product managers to improve outcomes.
- Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines that support development and launch decisions.
- Evaluate response quality across multiple dimensions, including relevance, completeness, freshness, factual accuracy, and usefulness to downstream agents.
- Investigate quality regressions and metric anomalies, uncover root causes, and identify the improvements with the greatest potential impact.
- Help prioritize the product and engineering roadmap, making quality trade‑offs explicit and assessing whether changes deliver meaningful improvements for users.
Requirements:
- Substantial hands‑on experience designing and building evaluation or quality measurement systems for complex technology products, such as search, AI agents, voice technologies, autonomous driving, recommendation systems, advertising, or other similar complex systems.
- A track record of owning ambiguous problems from initial framing through implementation, diagnosis, and measurable product improvement.
- Strong Python skills and an engineering mindset: you can turn analytical ideas into reliable, maintainable pipelines and tools.
- A solid foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty, and measurement bias.
- Strong analytical judgment: you understand what a metric captures, what it misses, and whether an observed improvement matters to users.
- The ability to reason across user needs, product behavior, and technical systems, and to translate that understanding into actionable evaluations.
- Strong communication and collaboration skills, with the ability to influence technical and product decisions.
- The independence to make progress in a fast‑moving environment where requirements, methods, and definitions of success are still evolving.
Conditions:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
- Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
Data analyst for agentic search in London employer: Nebius
At Nebius, we pride ourselves on being at the forefront of cloud computing and AI, offering our employees a unique opportunity to work alongside industry leaders in a dynamic and collaborative environment. With a competitive salary, comprehensive benefits, and flexible working arrangements, we foster professional growth and innovation, making our London office an exciting place for Business Development Consultants to thrive and contribute to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst for agentic search in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nebius!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nebius.
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We think you need these skills to ace Data analyst for agentic search in London
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 Nebius, 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 Nebius. 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 Nebius
✨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 Nebius!
✨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.
