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Data Analyst
Job summary
A leading consulting firm is seeking a Data Analyst to join their team in London for a 12-month hybrid role, requiring three days in the office per week. The successful candidate will work on developing evaluation protocols for generative models, engaging with engineers, and managing in-house human rating tasks. Ideal applicants will possess strong communication and problem-solving abilities, along with a background in STEM. Competitive benefits include healthcare contributions, pension scheme inclusion, career progression, and 25 days of annual leave.
Benefits
Qualifications
- Verbal and written communication skills, problem solving skills, and interpersonal skills.
- Attention to details and an aptitude to experimental investigations.
- Basic ability to work independently and manage one’s time.
- Basic knowledge of Python, Unix, and SQL.
- Basic knowledge of computer vision and generative models.
- Associate's degree or equivalent training required in STEM subjects.
- Prior industrial experience in software development and testing, or research in human-computer interaction preferred.
Responsibilities
- Prototype human rating and semi-automatic model evaluation protocols.
- Conduct small-to-medium scale in-house human rating on generated content.
- Identify and summarise model gaps based on evaluations.
- Identify and mine data needed to close model gaps.
- Coordinate and audit evaluation protocol scaling with PDO teams.
Skills
Education
London, United Kingdom | Posted on 02/03/2026
Our client is seeking a Data Analyst for 12 months and will be Hybrid (3 days in office per week).
Despite rapid development in generative AI, quality measurement remains challenging due to the lack of reliable and robust technical metrics. This is especially the case when the slight differences in the details generated by the model could have a significant impact on user experience. In this team, we are developing a series of manual (human rating), semi-automatic, and fully automatic evaluations to measure the quality of our image and video generative models (text to image, image to video, text to video, etc.) in a variety of quality axis, including visual quality, prompt following, identity preservation, naturalness, and visual text generation and so on.
Working with the team to prototype human rating and semi-automatic model evaluation protocols. For high stake and / or high complexity protocols, conduct small-to-medium scale in-house human rating on generated content. Working with engineers to identify and summarise model gaps based on the above evaluation. Working with engineers to identify data needed to close those gaps and mine such data to prepare training data for the next iteration of model training. Working with PDO teams to scale up validated evaluation protocols, including coordination and auditing.
- Verbal and written communication skills, problem solving skills, and interpersonal skills.
- Attention to details and an aptitude to experimental investigations
- Basic ability to work independently and manage one’s time.
- Basic knowledge of Python, Unix, and SQL.
- Basic knowledge of computer vision and generative models
- Associate's degree or equivalent training required in Computer Science, Electronic Engineering, Physics, Bioinformatics, or other STEM subjects.
- Prior industrial experience in software development and testing and / or research experience in human computer interaction are preferred.
- Healthcare contribution and inclusion in company pension scheme
- Work laptop and phone
- 25 days annual leave (pro-rata) plus paid bank holidays
- Expanding workforce with potential for career progression for top performers
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.