51 to 75 of 5,734 Analytics Jobs in the UK

Role Purpose We have a great opportunity for an individual with strong Data Lineage skills to lead the roll out of PIC's Data Comprehension initiative across the business and setup/manage the BAU production process. Key Responsibilities Setup More ❯

site in London/Lytham/Durham/Glasgow Role: Lead automation and optimisation of reporting pipelines. Develop and manage predictive models. Improve pricing analytics and web apps. Oversee segmentation models and data projects. Drive data discovery and onboarding. Requirements: Expertise in stats, data analysis, and ML for business insights. More ❯

site in London/Lytham/Durham/Glasgow Role: Lead automation and optimisation of reporting pipelines. Develop and manage predictive models. Improve pricing analytics and web apps. Oversee segmentation models and data projects. Drive data discovery and onboarding. Requirements: Expertise in stats, data analysis, and ML for business insights. More ❯

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 More ❯

the challenge of digging into complex datasets and uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. More ❯

verbal The candidate: Partner with retail business units (e.g., merchandising, supply chain, stores, digital) to design and deliver domain-aligned data products that power analytics and machine learning initiatives. Translate complex retail business needs into technical requirements and proactively identify opportunities for data-driven innovation. Lead the development and deployment More ❯

business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications More ❯

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets More ❯

will provide technology consulting for defining the right Data Science and ML use cases. You will contribute to the development and deployment of innovative Analytics and AI solutions. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in More ❯

and problem-solving. In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). Deep understanding of data warehousing concepts and ETL/ELT methodologies, including hands-on experience with relevant More ❯

risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. More ❯

development and maintenance of robust data models, data storage solutions, and data integration processes. Ensure that these elements work seamlessly together to support business analytics and reporting needs. Architectural Patterns and Best Practices: Define and implement architectural patterns and best practices to enhance the efficiency, scalability, and reliability of the More ❯

. 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 More ❯

engineering, report preparations, and ML tasks. Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions. Collaborate with the Data & Analytics Team on data infrastructure and ingestion. Discuss data inputs with Business Development and collaborators, advising on data integration. Ensure data accuracy and consistency across sources More ❯

firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll More ❯

firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll More ❯

both customer and product domains). Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization. Understanding of GDPR and The Data Protection Act 2018. Knowledge of programming languages including Python is highly desirable. TOGAF or ISEB accreditation (preferred More ❯

Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level More ❯

Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level More ❯

/Hybrid Location: London Responsibilities Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze More ❯

/Hybrid Location: London Responsibilities Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze More ❯

Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. More ❯

Experience Required Experience with data visualization tools, ideally Power BI or similar Experience working in a data analyst role Experience working in a proactive analytics function Experience of working in the Utilities sector More ❯

and Product Teams to deliver scalable, cloud-based AI/ML solutions. Key Responsibilities Build and optimise machine learning models for personalisation, pricing, predictive analytics, and customer engagement. Ensure models are scalable and repeatable across multiple clients. Work with structured and unstructured data, performing EDA and feature engineering. Deploy models More ❯

into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help More ❯