1,176 to 1,200 of 19,982 Analytics Jobs in the UK

looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

reporting and data sharing as required. Continuous Improvement: Identify and implement improvements to reporting, data visualization, and analytical processes. Stay abreast of industry trends and best practices in commercial analytics and data-driven retail management. Qualifications and Key Skills: Experience: Proven experience in commercial analysis within retail, travel retail, or a fast-paced commercial environment. Track record of driving actionable More ❯

the VML Data team. The Senior Analyst will analyze data to deliver value through understanding our clients' customers and the performance of marketing activities. Working closely with the wider analytics and data team, you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

the VML Data team. The Senior Analyst will analyse data to deliver value through understanding our clients’ customers and the performance of marketing activities. Working closely with the wider analytics and data team you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that More ❯

role perfect for a generalist who enjoys wearing many hats and thrives in a start-up environment. You will play a key role in taking the Townhouse Data and Analytics department to the next level, working closely with IT and software teams to plan and implement improvements to reporting data. Day-to-day responsibilities will cover data manipulation, presentation, and More ❯

data pipelines and data architecture. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain. Conduct exploratory data analysis to uncover data patterns and trends. Identify opportunities for process improvement and drive continuous improvement More ❯

deployments, including performance tuning, cost optimisation, and security management. Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects. Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value. Qualifications Key Qualifications Strong experience in data engineering, data architecture, or big data analytics. Proven experience designing and More ❯

third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API More ❯

with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office More ❯

manage your time well and like solving problems. Any experience with SQL, Power BI or CRM systems is a bonus-but not expected. The Person Strong interest in data analytics and marketing. Basic understanding of data analysis concepts, including statistical methods and data visualization. Proficiency with Microsoft Excel (e.g., formulas, pivot tables, VLOOKUP). Familiarity with basic SQL queries or More ❯

the Code of Practice for Statistics. Knowledge of grant funding and procurement. Experience of digital delivery, including knowledge of agile methodologies and resource planning. Experience of machine learning, predictive analytics, automation, AI and programming languages such as SQL, Python or Java. Qualifications You must be eligible to become a member of the Government Operational Research Service (GORS) or the Government More ❯

sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights . RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited More ❯

skills. Strong communication and interpersonal abilities to align technical goals with business objectives. Ability to thrive in a fast-paced, dynamic environment while managing competing priorities. Excellent communication and analytics skills Proven entrepreneurial and innovation skills Preferred Qualifications Experience in Telecoms and technology domains preferred Experience in developing private-cloud based software products and platforms Experience in leading edge technologies More ❯

truly diverse and empowered team. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Consulting and Engineering Industries Data Infrastructure and Analytics and IT System Data Services Referrals increase your chances of interviewing at NTT DATA by 2x Get notified about new Data Architect jobs in London Area, United Kingdom . London More ❯

with domain experts. Help transition from development environment to production. Act as a subject matter expert in data science and machine learning and coach other data scientists. Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems. More ❯

support our front-line services, including HR, IT, Finance, Procurement, Communications etc.). LFB is seeking a highly capable Senior Business Intelligence Analyst to lead and develop our Business Analytics function within the Performance, Improvement & Business Intelligence department. This is a senior analytical role within a growing team focused on enhancing the Brigade's data capabilities and supporting better decision More ❯

with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full time, permanent role Hybrid working (3 office/2 home) Digicare+ Provided More ❯

role will be offered as an initial 12 month Fixed Term Contract. About the role Collaborate with the client success, data science and engineering teams to provide insight and analytics consulting services to clients Work directly with studio clients, their agencies and 3rd party platforms to develop and deliver research and measurement solutions leveraging Vista Group’s comprehensive moviegoer dataset More ❯

security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. More ❯

responsibilities include developing standardized data schemas, ensuring data connectivity across systems, and building scalable pipelines to support accurate, real-time insights. This position requires expertise in data integration, AI analytics, and digital transformation in the built environment. Based in Toronto with flexibility for remote or hybrid work, this role supports Autodesk's hybrid-first approach. Responsibilities Lead exploration of emerging More ❯

will need: A proven appetite and ability to explore data in depth and be able to pull out key themes and provide clarity around the data. Proficiency in GA4 analytics , including event tracking, audience segmentation, and data visualization. Strong CRM platform capabilities , including data management, workflow automation, and reporting. Ability to interpret and analyse customer data to provide actionable insights. More ❯

relational and non-relational database technologies Leadership and Project Management skills required with the ability to shift between strategic planning and technical implementation Hands on experience working with unified analytics platforms such as DataBricks, GCP, AWS and familiarity with the available data governance tools. Good knowledge on SQL databases Experience in data quality monitoring, ideally with event streams such as More ❯