1,576 to 1,600 of 4,959 Analytics Jobs

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making of More ❯

datasets from multiple sources, ensuring accuracy, spotting trends, and providing actionable reports to help clients make informed energy decisions. You'll be part of a collaborative team working across analytics, engineering, and client services - with the flexibility to work from home and develop your skills in a thriving sector. Your Role as a Data Analyst Will Include: * Managing and validating More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you'll join the Customer Experience (CX) team and support the CRM and analytics function. You'll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you'll More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

pivotal role in driving customer acquisition, retention, and engagement. THE ROLE As a CRM Data Analyst, you’ll join the Customer Experience (CX) team and support the CRM and analytics function. You’ll be responsible for pulling, analysing, and presenting customer data to influence decision-making and drive more effective campaigns. With a focus on storytelling through data, you’ll More ❯

with potential for extension The Role You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop More ❯

as a service product such as Cloud Foundry, Heroku, Elastic Beanstalk, or similar Experience working with DNS, NTP, SAML, OAuth 2, Active Directory Understanding of systems monitoring, alerting and analytics (Prometheus, New Relic, AppDynamics, Cacti, Graphite, ELK, Nagios, Ganglia, Splunk, Log Insight, Realize Operations, Datadog, etc.) Background in Windows deployment, automation, and related technologies Experience with database (e.g. MySQL, PostgreSQL More ❯

business's greenfield AWS data platform. Build and optimise scalable data pipelines to ingest, transform, and manage large datasets. Architect and develop a new data lake to enable advanced analytics and reporting. Define and implement data engineering best practices, ensuring quality, security, and governance. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Mentor More ❯

with potential for extension The Role You'll lead the design and delivery of scalable data products that support financial analysis and decision-making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop More ❯

What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. High proficiency in Python and a deep understanding More ❯

What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. High proficiency in Python and a deep understanding More ❯

complex industrial ecosystems. Key Responsibilities Lead IT/OT integration projects , ensuring seamless connectivity between IT applications and operational technology systems. Design and implement robust data flows to enable analytics, reporting, and informed decision-making. Partner with cyber security teams to ensure compliance with international standards and regulations (e.g., IEC 62443, NIST, ISO 27001 ). Assess, mitigate, and continuously monitor More ❯

Your new company An exciting opportunity has arisen for an experienced Data Solution Architect to join our National Data and Analytics (NDA) Platform & Engineering Team for a progressive organisation based in Warwickshire. Here they're building a smarter, data-driven future, and you could be a vital part of it. Your new role As a Data Solution Architect, you'll More ❯

use, the following (or similar equivalent) software tools: • Microsoft Office software (Excel, Word, PowerPoint, Access). • Teamcenter (Document Control). • ARM (Risks, Opportunities, Trends). • Power BI (Business Intelligence Analytics). More ❯

practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and More ❯

practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and More ❯

to align KPIs. Provide analysis and insights to support strategic and board-level decisions. Suitable Candidate for the Finance Analyst vacancy: Strong background data-driven financial analysis. Skilled in analytics (Excel, SQL or BI tools). Experience in revenue modelling, pricing strategy, and workflow automation. Proven ability to collaborate cross-functionally and influence decision-making. Commercially astute, adaptable, and solutions More ❯

Converse API interfaces). Build high-performance Python/FastAPI services with comprehensive automated tests. Implement RAG/GraphRAG architectures using knowledge graphs and vector DBs (e.g., OpenSearch , Neptune Analytics ). Create scalable API endpoints for model serving; optimize latency, throughput, and cost . Develop evaluation frameworks and load testing (e.g., Locust ) to ensure reliability at scale. Establish CI/ More ❯

months contract can be extended as well/Hybrid/25-35 pounds an hour Inside ir 35/London Job Description This is a compliance, operations and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment. The candidate is expected to own their own workflow More ❯

months contract can be extended as well/Hybrid/25-35 pounds an hour Inside ir 35/London Job Description This is a compliance, operations and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment. The candidate is expected to own their own workflow More ❯

practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and More ❯

practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and More ❯

practices - CI/CD, automated testing, monitoring, feature stores. Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows. Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI. Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence. Track and More ❯

months contract can be extended as well/Hybrid/25-35 pounds an hour Inside ir 35/London Job Description This is a compliance, operations and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment. The candidate is expected to own their own workflow More ❯

months contract can be extended as well/Hybrid/25-35 pounds an hour Inside ir 35/London Job Description This is a compliance, operations and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment. The candidate is expected to own their own workflow More ❯