25 of 25 Permanent Data Quality Analyst Jobs in England

Title: Senior Data Quality Analyst Target Start Date: Q1 2026 Contract Type: Permanent, Full Time Salary Range: £54,400 – £81,600 depending on experience Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 17th December Senior Data Quality Analyst: We're building … Data Quality team within our Enterprise Data Services function, and we're looking for a highly skilled and motivated Senior Data Quality Analyst to help lead the delivery of our data quality strategy and manage a growing team. This is a fantastic ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...

failure clusters, edge cases, and improvement opportunities. Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings. Present insights to data labeling experts and technical teams to foster collaboration and drive improvements. Qualifications Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing … pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with ...