our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Manager … Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building … data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions. Responsibilities Lead and manage a team of data professionals in executing complex analytics, modeling, and data science projects. Design, develop, and maintain scalable More ❯
A successful and established London Market syndicate is seeking a highly motivated and detail-oriented Data Quality Analyst to join their team. The Data Quality Analyst is integral to ensuring the organization's data assets are managed, secured, and utilized to support business decision-making. As Data Quality Analyst will play a key role in maintaining … and driving quality standards, policies, and procedures related to data governance while collaborating with stakeholders across departments to enhance data quality and integrity. NB: If you do not have experience of working in the insurance sector, you will unfortunately NOT be eligible for this role. Key Responsibilities: Develop and implement a comprehensive data governance framework Help create … implement, and maintain data governance policies and procedures to ensure the business is compliant with relevant regulatory requirements Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes Identify and appoint data stewards, providing guidance and support Develop and maintain a data catalog, taxonomy, and dataMore ❯
Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. … Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. * Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into … our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query, and data modelling. * Strong programming abilities in Python, SQL, and/or Scala. * Expertise in ETL/ More ❯
Core Responsibilities: Design and build robust data pipelines within Foundry. Integrate diverse data sources using Foundry's Ontology and Code Workbooks (Python, SQL). Develop and maintain Foundry applications (datalineage, pipelines, object models). Collaborate with analysts, data scientists, and business users to understand requirements. Optimize data flows and system performance. Due to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intelix.AI
Engagement Lead or Manager (Marketing) Location: London | Hybrid | Permanent Up to £125 + B&B Reporting to C-Suite in a Matrix structure with the central AI team, MarTech, Data, and Compliance . THE ROLE: AI roadmap for marketing communications and engagement. Own key products: conversational assistants, content generation, and RAG search. Take each product from discovery to launch … and scale. Build “governance-lite” controls: usage logging, prompt review, risk tiers, data rules. Align with enterprise AI policy, privacy, and regulatory requirements. Redesign content and campaign workflows to remove manual steps. Stand up an internal AI training programme and a Community of Practice. Track adoption and value with a simple KPI set (NPS, cycle time, cost-to-serve … . Publish a monthly impact pack for marketing leadership. Run buy-partner-build analysis and keep vendor spend tight. Work day-to-day with MarTech, Data, Creative, and Compliance to ship MVPs fast. THE CANDIDATE'S EXPERIENCE: End-to-end ownership of an AI platform or capability used by ~1,000+ users. Strong knowledge of LLMs, conversational design, RAG More ❯