451 to 475 of 2,037 Analytics Jobs in London

for data science that add value to the business. Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the More ❯

Initial – Inside IR35 We are looking for a skilled KDB Specialist/KDB+/q Developer to work with the eFX strat/engineering teams to build out our analytics framework in KDB+/q and enhance the overall resiliency of our KDB+ estate. Build out reporting dashboards for key stakeholders based on data within KDB. Role Overview: Job Title More ❯

strong knowledge of ITIL or equivalent frameworks, adapted for agile and DevOps/SRE environments. Proven ability to define and mature problem management processes independently. Experience with AI-enabled analytics or automation tools for incident prevention. Excellent written and verbal communication skills for diverse audiences. Confident facilitation skills to influence and align multiple teams. A growth mindset-curious, collaborative, and More ❯

products, and governance . Working closely with product managers, engineers, and stakeholders, you'll ensure business needs are clearly understood, effectively prioritised, and successfully delivered using modern data and analytics approaches. Responsibilities: Gather, analyse, and document business and technical requirements across data and product initiatives. Collaborate with technical and non-technical stakeholders to ensure shared understanding of scope and priorities. More ❯

rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

latest Azure technologies to help the business make smarter, data-driven decisions. What you'll be doing Building and maintaining data pipelines using Azure Data Factory , Databricks , and Synapse Analytics Supporting the design and development of a centralised data platform Working closely with analysts and business stakeholders to understand data needs Enhancing data quality, governance, and performance across key datasets More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

responses. Lead data modelling, pipeline design, governance, and innovation initiatives using tools like BigQuery, Dataflow, and more. What we're looking for: 10+ years in BI/DW/Analytics, including 4+ years in architecture. Strong banking expertise and proven pre-sales/RFP experience. Hands-on GCP experience (BigQuery, Dataflow, Dataproc, etc.), enterprise data modelling, ETL/ELT, and More ❯

CRM strategy, customer lifecycle management, and data governance Proactive, self-starting mentality with the ability to drive complex projects independently Bonus: Experience with Power Platform, Azure services, or customer analytics Why Join : Hybrid working with office-based days in Uxbridge Salary £70,000–£75,000 25 days holiday which increases with service Opportunity for international exposure with some travel across More ❯

responses. Lead data modelling, pipeline design, governance, and innovation initiatives using tools like BigQuery, Dataflow, and more. What we're looking for: 10+ years in BI/DW/Analytics, including 4+ years in architecture. Strong banking expertise and proven pre-sales/RFP experience. Hands-on GCP experience (BigQuery, Dataflow, Dataproc, etc.), enterprise data modelling, ETL/ELT, and More ❯

SaaS Sales Manager - Hotels/Hospitality (AI-powered energy management/optimization ) A new vacancy for a Sales Manager with fast-growing tech startup specializing in data analytics/energy management technology for the hospitality industry (esp. Hotels). We are on a mission to revolutionise how hotels manage energy through cutting-edge AI and data integration through a wide More ❯

not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk More ❯

not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯