351 to 375 of 6,152 Analytics Jobs in England

within UBS Global Markets This is a fast paced and collaborative team that are responsible for the development and enhancement of our growing trading analytics platform We're looking for a Credit Principal Algo Data lead to: Participate in the design, development, of our data platform Play a key role … similar) and reliability patterns such as retries, backfills, and exactly-once semantics. Deep experience with Azure, including AKS, Helm, EventHub, observability tools (e.g. Log Analytics) and infrastructure-as-code (e.g. Terraform). Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised ...

learn from our own data and improve future design decisions. The architecture developed through this work will provide a foundation for wider scientific, operational, analytics and AI applications. What you will do Design and build scalable data architecture, models, pipelines and integrations across scientific and business systems. Establish consistent approaches … identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering standards and best practices. Work closely with scientists, Bioinformatics and IT to translate complex questions into practical data solutions. Essential skills and experience ...

data, this is an opportunity to make a real impact. You'll work alongside business and technology leaders to architect innovative solutions that support analytics, AI, governance, and digital transformation programmes across a range of industries. What You'll Be Doing Design and deliver end-to-end data architecture solutions … machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such as Snowflake or Microsoft Fabric. Experience delivering analytics and reporting solutions using tools such as Power BI, Tableau or Looker. Strong stakeholder management skills with the ability to communicate complex technical solutions to both technical ...

Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing Data Science & Analytics at Trainline Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded … obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams ...

Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing Data Science & Analytics at Trainline Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded … obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams ...

DOING AI & Machine Learning Solutions Design Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging … technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that drive decision making for senior stakeholders. Build and maintain reproducible data science workflows ...

transformation function supporting a complex commercial and trading environment. This role offers broad exposure across front-office systems, digital transformation programmes, data and analytics platforms, cloud technologies, and enterprise applications. We are looking for a technology-focused Business Analyst who can work across multiple projects and stakeholder groups, helping … Systems, Mathematics, Statistics, or equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/ ...

Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives. This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable … platform components responsible for data ingestion, transformation, validation, and routing across internal and external systemsBuild robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelinesDesign and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement ...

identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modelling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security … enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms ...

data into reusable agent skills, tools and intelligence services. Monitor data-related failure patterns and recommend improvements to source content, retrieval and agent behaviour. Analytics & Performance Design dashboards, scorecards and reporting that provide meaningful visibility of business performance. Define and track measures for agent adoption, accuracy, time saved, operational impact … meet key deadlines You’ll thrive in this AI Data and Insights Officer role if you bring: Professional experience in data analysis, business intelligence, analytics engineering or a closely related role. Strong experience of data preparation, cleansing, modelling and quality assurance. Experience using SQL and visualisation tools such as Power ...

identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities Design the Security … enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms ...

stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data … client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache ...

will be a key member of the Service Delivery team, responsible for designing, building, and maintaining scalable data pipelines and data products that support analytics and operational decision-making across the organisation. This role is critical in ensuring data is reliable, accessible, and aligned to business needs, working across …/BI Integration: Designs and delivers datasets and data products with clearly defined SLAs, ensuring compatibility with BI tools and alignment with reporting and analytics requirements. Data Quality & Testing: Implements automated validation, schema checks, and monitoring, and leads investigations into data quality issues to identify root causes and prevent recurrence. ...

wider business, seamlessly adapting your communication style to collaborate with both technical engineering teams and non-technical stakeholders.# **Key Responsibilities** * **End-to-End Analytics:** Design, develop, and maintain interactive, high-performance dashboards and reports using Tableau.* **Stakeholder Collaboration:** Build strong relationships across departments, acting as a trusted data advisor … source control best practices. # **Required Skills** * **BI Expertise:** Hands-on experience with leading BI visualization tools (Tableau, QuickSight, Power BI) in a commercial analytics role* **Interpersonal & Communication Skills:** Excellent communication skills with the ability to translate complex technical concepts into plain language, managing stakeholder expectations and building cross-functional ...

digging into how work really happens in practice, engaging closely with DSM Business Services, operational SMEs, Business Architects, and engineering leads in Data Engineering, Analytics, ML, and AI. The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM. Business Process Analysis Analyse end‐to‐end operational workflows … Combine qualitative process understanding with quantitative insight to strengthen use‐case discovery. Automation & Use‐Case Discovery Spot areas for workflow and rules‐based automation, analytics enhancements, data‐driven decision support, or ML/AI augmentation (in collaboration with engineering). Assess each potential enhancement using structured criteria including impact, feasibility ...

while collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best practices … performance, scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong ...

excursions that arise during the product development and production phases. This is a hands‐on role involving deep technical work in Cloud Data Engineering, Analytics and ML. Required Skills & Experience 10+ years in data engineering, data warehousing, analytics or similar roles. Strong expertise in Snowflake architecture and AWS cloud services … creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help ...

machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business stakeholders to understand challenges … measurable value. You’ll be part of a team of four Data Scientists, including a Lead Data Scientist, within the wider Data Science and Analytics team. You’ll manage projects from initiation through to delivery, including requirements gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work ...

time and batch. This foundational work empowers business users to leverage vast datasets in their planning workflows and forms the bedrock for our advanced analytics and AI initiatives. You'll need deep knowledge of distributed computing, data architecture, and strong software engineering skills to tackle complex, high-scale data challenges. … engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures. Engineer feature-rich context pipelines that process large-scale enterprise data, balancing ...

wider business, seamlessly adapting your communication style to collaborate with both technical engineering teams and non-technical stakeholders. Key Responsibilities End-to-End Analytics: Design, develop, and maintain interactive, high-performance dashboards and reports using Tableau. Stakeholder Collaboration: Build strong relationships across departments, acting as a trusted data advisor …/source control best practices. Required Skills BI Expertise: Hands-on experience with leading BI visualization tools (Tableau, QuickSight, Power BI) in a commercial analytics role Interpersonal & Communication Skills: Excellent communication skills with the ability to translate complex technical concepts into plain language, managing stakeholder expectations and building cross-functional ...

into measurable metrics. Strong stakeholder communication skills. Ability to explain complex findings to technical and non-technical audiences. Experience with GA4 or similar digital analytics tools. Ability to work independently and take ownership of analytical work. Ability to manage competing priorities in a fast‐moving environment. Desirable Experience Python. Exposure … contributing to data governance or data quality initiatives. Experience with CRM or marketing automation platforms such as Salesforce or HubSpot. Understanding of AI-supported analytics and automated insight generation. Candidate Profile The strongest candidates will combine technical analytical capability with autonomy and commercial awareness. This role is not intended ...

data accuracy. Create dashboards providing visibility of supplier and procurement performance. Identify opportunities to streamline processes through automation and digital solutions. Supply Chain Performance Analytics Develop and maintain performance-management dashboards and KPI reporting. Design Power BI solutions providing clear visibility of operational performance against targets. Analyse supplier data … Power BI and Data Visualisation Strong Power BI experience, including: Data modelling DAX Power Query Dashboard development Performance optimisation Executive-level reporting Automation and Analytics Strong experience in process and reporting automation. Ability to build repeatable and scalable analytical solutions. Understanding of data structures, data cleansing and data-governance principles. ...

delivering high-quality reporting and analysis to support business decision-making across the Group. The role is responsible for developing Power BI dashboards, supporting analytics initiatives, and working with stakeholders to understand requirements and deliver clear, actionable outputs. The BI Analyst will work closely with Senior BI Analysts and Data … reports aligned to business requirements. Translate stakeholder requirements into clear reporting outputs, with support from senior team members where needed Support delivery of analytics initiatives, contributing to data preparation, modelling and visualisation. Work with Data Engineering to ensure data is accurate, structured and available for reporting. Perform data validation ...

scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys. As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern … Strong consulting values with the ability to engage effectively with senior client stakeholders. Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption. Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts. Ability to align data strategies with business objectives, driving measurable value. ...

Understanding of regulatory requirements relating to data. Strong analytical, communication, and influencing skills. Bachelor's degree (or equivalent self-taught skills) in Data Science, Analytics, Computer Science. Experience of Asset Management or similar financial services is preferential. The knowledge, experience and qualifications that'll helpExperience with finance systems, data warehousing … business intelligence platforms (e.g., Snowflake, Tableau, Power BI).Proficiency in data management technologies and tools (e.g., Collibra).Exposure to data analytics, automation, or AI/ML tools related to dataUnderstanding of asset management processes, product structures and client hierarchies. Passion for data, visualisation and data coding languages such as PowerBI ...