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 ❯
london (city of london), south east england, united kingdom
Nicholson Glover
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 ❯
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 ❯
Uxbridge, Middlesex, England, United Kingdom Hybrid / WFH Options
Parkside Office Professional
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
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 ❯
engineers and understands technical concepts like APIs, data structures, and system architecture. Exceptional analytical skills and a data-driven approach to decision-making. You should be comfortable with product analytics tools and have a track record of using data to inform your roadmap. Experience in conducting user research and A/B testing. This position can be based in Europe 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 ❯
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 ❯
london (city of london), south east england, united kingdom
Harnham
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 ❯
South West London, London, England, United Kingdom
Robert Half
and ethical use. Manage the entire data lifecycle, from data acquisition and storage (e.g., data warehousing, data lakes) to processing and utilisation. Drive the development and deployment of advanced analytics, machine learning models, and business intelligence (BI) solutions to generate actionable insights. Collaborate cross-functionally with executive leadership and departments (e.g., Marketing, Product, Finance) to integrate data-driven decision-making. More ❯
skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within the food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and More ❯
skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within the food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and More ❯
Working in small, agile teams, you’ll: Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What You’ll Bring Proven More ❯
Working in small, agile teams, you’ll: Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What You’ll Bring Proven More ❯
Working in small, agile teams, you’ll: Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What You’ll Bring Proven More ❯
london (city of london), south east england, united kingdom
Opensourced® Agency
Working in small, agile teams, you’ll: Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What You’ll Bring Proven More ❯
evolve the end-to-end data platform, including ingestion, transformation, governance, and real time processing. Design, build, and maintain scalable data pipelines, warehouses, and models to support product and analytics teams. Introduce and enforce best practices in testing, CI/CD, infrastructure as code, and observability. Write and review production level code, designing scalable data pipelines and modern data architectures. More ❯
and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. Policy Implementation & Regulatory Alignment: Translate regulatory requirements into actionable engineering guidelines and reusable controls. Ensure AI systems avoid prohibited practices and meet obligations around: Transparency and user More ❯
highly qualified staff in the following areas:Forensic Accounting & Fraud - (AML/CTF, Investigation, CFE’s etc.); Legal and LegalTech (E-Discovery, Digital Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT More ❯
