601 to 625 of 12,816 Analytics Jobs in the UK excluding London

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

both technical and non-technical stakeholders Proactively identifying opportunities to improve business performance through data Supporting the wider team with varied tasks beyond traditional analytics, contributing to our close-knit culture What We're Looking For: Minimum of 3 years' experience in a data analyst or similar role Proficiency in More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards Deploy and manage products using More ❯

business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards Deploy and manage products using More ❯

business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards Deploy and manage products using More ❯

and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver More ❯

for their internal IT team. You can work from home 1 days a week. Summary: The Data Analyst will take full ownership of data analytics across the organization, driving Business Intelligence with a data-centric approach. Collaborating with stakeholders, this role will involve managing the entire data lifecycle, from data More ❯

goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned More ❯

goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned More ❯

architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate More ❯

architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate More ❯

in JavaScript or Python Proven ability to design end-to-end CRM solutions and automate workflows Strong SQL reporting and dashboard development experience (Zoho Analytics, Power BI, etc or equivalent in Sales Force or MS Dynamix.) Understanding of API integrations, CRM architecture and user journey design Comfortable liaising directly with More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

Collaborate closely with internal teams to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics requirements. Perform exploratory data analysis to identify trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across all reports and dashboards. Collaborate with More ❯

of new features Support team-wide development through code sharing and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods More ❯

of new features Support team-wide development through code sharing and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods More ❯

of new features Support team-wide development through code sharing and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods More ❯

of new features Support team-wide development through code sharing and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods More ❯

of data assets. Technology & Innovation · Evaluate and recommend BI and MDM tools, platforms, and technologies to enhance data capabilities. · Drive the adoption of advanced analytics, artificial intelligence (AI), and machine learning (ML) to unlock new insights from customer data. · Ensure seamless integration of BI and MDM solutions with existing systems More ❯

of data assets. Technology & Innovation · Evaluate and recommend BI and MDM tools, platforms, and technologies to enhance data capabilities. · Drive the adoption of advanced analytics, artificial intelligence (AI), and machine learning (ML) to unlock new insights from customer data. · Ensure seamless integration of BI and MDM solutions with existing systems More ❯

that prioritise automation and reusability. Proficiency in creating high-level and low-level technical designs, specifications, and interface control documents. Knowledge of BI and analytics tools like Power BI, Pentaho, ElasticSearch, Solr, or Apache Kafka. Solid experience with engineering methodologies and service management best practices. A proactive approach to problem More ❯