Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
London, United Kingdom
Actively hiring, first seen by us todayNebius is leading a new era in cloud infrastructure for the global AI economy.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We expect you to have: • 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. Benefits & Perks:
Complete your application on careers.nebius.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
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. We move at a startup pace, with plenty of open questions and difficult problems to solve.
In this position, you will:
• 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..
We expect you to have:
• 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.
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. 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. If you need accommodations during the application process, please let us know.