Data analyst for agentic search

Nebius Group; Greater London; On-site; GBP 45,000 - 70,000; Full time

Benefits offered by this job

Competitive compensation

Career growth

Flexibility and ownership

Collaborative culture

Impactful AI projects

International teams

Fast-moving environment

Job summary

Nebius Group in London is seeking an experienced Data Analyst to own end-to-end quality for AI-powered search components. You will design evaluation systems, build pipelines, and partner with engineers and product managers to improve outcomes.

The role demands hands-on data engineering, solid statistical thinking, and the ability to translate user needs into measurable metrics. You will influence product direction and ensure robust, scalable evaluation is at the heart of development.

Qualifications

• Substantial hands-on experience designing and building evaluation or quality measurement systems for complex technology products.
• Strong Python skills and an engineering mindset.
• Foundation in mathematical statistics and practical experience with experimental design, sampling, uncertainty and measurement bias.
• Strong analytical judgment and ability to translate understanding into actionable evaluations.
• Excellent communication and collaboration skills to influence technical and product decisions.

Responsibilities

• Own the quality measurement and improvement cycle end-to-end for AI search components.
• Design, build, and evolve evaluation systems, including datasets, benchmarks, metrics, and automated pipelines.
• Evaluate response quality across relevance, completeness, freshness, factual accuracy, and usefulness.
• Investigate quality regressions and metric anomalies, diagnose root causes and propose impactful improvements.
• Prioritize product and engineering roadmap with explicit quality trade-offs.

Skills

Python

Statistics

Experiment design

Data evaluation

Communication

Job description

Описание:

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.

Задачи:

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.

Требования:

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.

Условия:

• 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.