601 to 625 of 1,080 Data Quality Jobs in the UK

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 ...

Work Location: UK Salford Hybrid: Hybrid,State: Manchester; City: Salford Zip: M50 2UE Job description: Key Responsibilities Design, develop, and maintain metadata-driven data pipelines using ADF and Databricks. Build and implement end-to-end metadata frameworks, ensuring scalability and reusability. Optimize data workflows leveraging SparkSQL and Pandas … large-scale data processing. Collaborate with cross-functional teams to integrate data solutions into enterprise architecture. Implement CI/CD pipelines for automated deployment and testing of data solutions. Ensure data quality, governance, and compliance with organizational standards. Provide technical leadership and take complete ownership ...

after 6 months + excellent benefits 1-year FTC (possible extension) Are you a UX/UI-focused BI professional who loves transforming complex data into intuitive, meaningful user experiences? We're recruiting on behalf of a long-standing London client with a strong social purpose. In this role … blend 60% UX/UI design with 40% BI analytics, shaping how the organisation uses data to drive insight, efficiency, and innovation. Please note: Ideally, we are looking for a UX/UI design specialist. It's fine if your Power BI or broader BI journey is still developing ...

About the RoleWe are seeking a Databricks Data Engineer with strong expertise in designing and optimising large-scale data engineering solutions within the Databricks Data Intelligence Platform. This role is ideal for someone passionate about building high-performance data pipelines and ensuring robust data governance … across modern cloud environments.Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure cost ...

Conversions Support Technician. In this role, you'll work closely with our ETL Developer to support the end-to-end process of data conversions for new and existing customers.No coding experience? No problem! What matters most is your willingness to learn technical processes, a logical approach to problem-solving … strong eye for detail. Full training will be provided.Main Duties & Responsibilities Collaborate with the ETL Developer to deliver high-quality data conversions for customers Run test conversions in preparation for live migrations Perform customer infrastructure checks ahead of conversion work Validate and check data quality following ...

About the RoleWe are seeking a Databricks Data Engineer with strong expertise in designing and optimising large-scale data engineering solutions within the Databricks Data Intelligence Platform. This role is ideal for someone passionate about building high-performance data pipelines and ensuring robust data governance … across modern cloud environments. Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure ...

through their full life cycle, and work with business and CX leaders to translate requirements into effective CRM configurations. You'll also support integrations, data quality, security considerations, and ongoing optimisation of the CRM environment. Key Responsibilities Partner with the CRM Business Analyst on solution design and validation … technical CRM delivery across projects and operations Translate business workflows into CRM configuration Produce and review technical design documentation Support system integrations, data quality, and automation testing Work with internal IT teams, third-party suppliers, and cyber security stakeholders Skills & Experience Strong experience as a Salesforce Business/ ...

through their full life cycle, and work with business and CX leaders to translate requirements into effective CRM configurations. You'll also support integrations, data quality, security considerations, and ongoing optimisation of the CRM environment. Key Responsibilities Partner with the CRM Business Analyst on solution design and validation … technical CRM delivery across projects and operations Translate business workflows into CRM configuration Produce and review technical design documentation Support system integrations, data quality, and automation testing Work with internal IT teams, third-party suppliers, and cyber security stakeholders Skills & Experience Strong experience as a Salesforce Business/ ...

Performance Analyst (Data Visualisation Specialist) - DV Cleared Location: London Contract: Initial 12 months Clearance: DV Clearance is essential About the Role We are seeking a proactive and highly skilled Performance Analyst with a strong specialism in data visualisation to join our high-performing Performance & Insights team. This role … pivotal in driving practical insights from data and supporting evidence-based decision-making at the highest level. You will play a key role in: Developing data visualisation products that make complex information accessible and highlight trends across datasets. Surfacing insights to enable data-driven decisions by senior ...

crime initiatives. Lead the migration to a new BI platform: mapping, parallel runs, cutover, deprecation, stabilisation, and rollback planning. Scale self‐serve data products (metrics layer, curated datasets, dashboards) with clear ownership, documentation, and lifecycle. Build strong relationships between Engineering and Analytics teams: shared intake and prioritisation, data … single source of truth; communicate impact with clear visuals and narratives. Drive enablement (training, playbooks, catalog/lineage) to increase adoption; optimise data platform performance and cost. Qualifications About you 7+ years in program/project or product delivery in complex orgs; fintech/financial services experience a plus. ...

have exiting contract job opportunity for Data Engineer for leading airline client. Role Purpose The Data Engineer will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for business, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical … discipline. Contract - 6 months Location - around Heathrow Hybrid - 2 to 3 days onsite Rate - Flexible day rate (inside IR35) Key Responsibilities Develop and optimize data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security across systems. Collaborate with Data Scientists and Analysts ...

traditional CRM administration. You will architect the systems that underpin the entire customer lifecycle, ensuring the GTM tech stack scales effectively while maintaining strong data quality and governance throughout. If you want to own the strategy, design and optimisation of a modern CRM environment while partnering closely with … Service and Operations Translate commercial requirements into scalable system design and configuration Partner with Revenue Operations, Marketing and Customer Success leadership Build and maintain data quality standards, lifecycle processes and technical documentation Troubleshoot issues, support system users and maintain overall CRM health Work with engineering and automation teams ...

Description As a Data Scientist Apprentice within the Sales Support team, you will work towards a Level 6 Integrated Degree Apprenticeship in Data Science. You will support the business by analysing vehicle finance sales data, identifying trends, and providing actionable insights to improve sales performance, customer engagement … operational efficiency. This role blends technical data skills with business acumen, enabling you to contribute to strategic and operational decision-making while developing your expertise in data science. Key Points Use Excel, Power Query, Power BI to collect, clean, and transform data. Design clear, impactful dashboards and visualizations ...