1 to 25 of 132 Analytics Jobs in Glasgow

Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Data, Analytics, Insight Top 3 qualities for this role: Technical Know How, Stakeholder Engagement, Proactivity Where you’ll work: At OVO, we understand that a one size fits all approach doesn’t work … team you’ll be joining plays a gigantic role in making that happen. Here’s how: This role is part of the Growth Analytics team. Our team's focus is very much that of 'applied analytics' - developing, running and maintaining analytical assets which support the commercial objectives of the wider ...

flow across interconnected systems. Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading. Build and optimize data pipelines that support analytics, reporting, and operational workflows. Ensure data integrity, reliability, and traceability across all pipeline stages. Contribute to and lead discussions on system architecture, ensuring solutions ...

dedicated to fostering a collaborative, inclusive, and healthy environment that promotes flexibility and accountability. As a leading provider of technology, communications, and data and analytics solutions to businesses around the world, it is critical that we understand, embrace, and operate in a multicultural environment. Every associate has unique strengths, which ...

Glasgow Working Style: Hybrid 50% home/office based We have a fantastic opportunity for an experienced Data Engineer to join Royal London’s Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools, and other technical … assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Supporting the Senior Data Engineers in their role as technical lead for the team, helping ...

curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources ...

Learn. Knowledge of autonomy frameworks such as ROS2 or equivalent technologies. Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions. Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL. Experience deploying AI models into operational environments. Understanding ...

outputs. Strong communication and interpersonal skills, with the confidence to work effectively with audit teams and clients. Ideally, you’ll also Have exposure to analytics, automation, cloud or AI technologies, with experience in tools such as Microsoft Azure, Databricks, Power BI, Microsoft Copilot, Python or SQL beneficial. Have experience working ...

units. Experience with vector databases, prompt engineering, fine-tuning, understanding of when to apply different AI approaches to business problems. Knowledge of data engineering, analytics, and visualisation tools to support end-to-end solution delivery including data pipelines and user interfaces. Experience with React/JS Frameworks ...

including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the role Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge ...

Python including data processing, APIs and services, and scripting and automation using common libraries and frameworks relevant to the roleExperience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration toolsExperience with relational databases and SQL; familiarity with NoSQL databases and data modeling conceptsKnowledge across ...

features using React, delivering intuitive user experiences for risk analysts and business stakeholdersWrite and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platformsLeverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed ...

unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon ...

increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection of marketing analytics, AI, and data strategy, helping clients harness data to understand their customers more deeply, measure marketing … marketing data at scale. This is a genuine opportunity to build hands-on expertise across data analysis, agentic AI workflow design, and marketing analytics, working alongside experienced practitioners and some of the UK's most forward-thinking brands. Connect to your career at Deloitte Deloitte drives progress. Using our vast ...

reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely ...

Inthisrole,you will be providing L2 support for production applications within Data Delivery, Controls & Analytics, driving operational excellence and service reliability across our diverse technology landscape. Youwillcollaboratewithdevelopmentteamstoresolveissues,ensuringsmoothoperationandhighavailabilityofsystemsinaproductionenvironment. You will effectively monitor and maintain the bank’s critical technology infrastructure and resolve more complex technical issues, whilst minimising disruption ...

experience in AI drug discovery is a genuine differentiator for us. Interest in semantic technologies (graph databases, ontologies) or modern data stack. Experience enabling analytics teams by building data models for BI tools and dashboards. Familiarity with Infrastructure as Code (AWS CDK or Terraform) is a strong plus. Experience with ...

Sales, Planning, Supply Chain, and Brand/Product Development, you will ensure operational master data serves as a trusted foundation for enterprise decision-making, analytics, and digital transformation initiatives. Come join one of the world’s biggest toy-making companies and help us shape the future of play! What ...

data from external sources into Azure and core operational systems Build and develop data warehousing solutions using Microsoft Fabric, transforming data for reporting and analytics Work hands-on with SQL, APIs, ETL processes and Python to automate and improve existing data processes Support the integration of systems including Salesforce, alongside ...

reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely ...

program and project management. Cloud platform knowledge, which helps in making informed decisions about cloud services and architecture. Good working knowledge in data analytics/data visualisation and/or intelligent automation is an added advantage. J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

robust evaluation/monitoring suitable for regulated clients* Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards. · Working effectively in a team, supporting your peers in delivering at pace and meeting our own high ...

engineering. • Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management. • Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms. • Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. • Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. • Proven ...

Barclays is seeking a Financial Crime Data Analyst based in Glasgow to design, develop and maintain statistical and ML models for decision support in financial crime domains. You will collect and clean data from multiple ...

lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability Support enterprise BI development by preparing datasets … clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive ...

This is a full-time on-site role for a Business Intelligence and Data Analytics Engineer located in Glasgow. This role is crucial in transforming raw data into actionable insights that drive business decisions. You will design, develop, and maintain data pipelines and ETL processes, create and manage data models … Requirements: Master’s degree in Data Science, Computer Science, Statistics, or a related field, or equivalent practical experience; Proven experience in business intelligence, data analytics, and data warehousing;*Strong proficiency in SQL and experience with database management systems; Excellent analytical and problem-solving skills; Ability to effectively communicate complex data ...