1 to 25 of 42 Permanent Use Case Jobs in the City of London

organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance use cases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯

advisor to C-suite stakeholders, advocating for AI and data-driven decision making Working closely with innovation and product teams to identify and deliver impactful ML and AI use cases Supporting the rollout of an AI-powered platform that automates insights and trends from structured and unstructured data Overseeing predictive machine learning initiatives and data science best practices More ❯

data and AI necessity; Value strategy; Data science tools (SQL, python) Augmented insights tools (Power BI); E2E solutioning - ability to turn ecosystem plays into client value - use-case mapping - IP Development; Accelerators for industry use-cases; Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining More ❯

contribute Desirable Exposure to cloud platforms : GCP , Azure , or AWS Familiarity with Data Lakes , Data Warehouses , or LakeHouse architecture Interest in AI/ML and applied data science use cases Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting for a confidential chat to know more details about the role. Please also note: Due to the More ❯

in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. More ❯

iterate rapidly to improve performance. This is a unique opportunity to shape the future of AI-human collaboration. Key Responsibilities Partner directly with clients to deeply understand their use cases, goals, and operational workflows Design, configure, and deploy agentic AI teams tailored to each business challenge Test and iterate agent behaviors in both sandbox and live environments to More ❯

the whole user experience. While no two days are the same, your main responsibilities will include: Designing thoughtful, intuitive and accessible content solutions for a range of product use cases and interactions – from onboarding and in-app education to transactional flows and push notifications Applying solid information architecture methods (such as content modelling and mapping), and UI frameworks More ❯

continuous improvement of our Clinical Knowledge Graph (Clinical Intelligence) platform. This role is pivotal in enhancing technical architecture, streamlining processes, and ensuring high-quality delivery aligned with customer use cases. Key Responsibilities Design, develop, and maintain scalable data pipelines using SPARQL and Python. Create and optimize complex SPARQL queries for data retrieval and analysis. Develop graph-based applications More ❯

the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to More ❯

role requires an interest in digital technology and a background in computer science, chemical or mechanical engineering as well as some knowledge of the world of AI, its use cases, and major trends. The successful candidate will have the ambition to undertake a wide range of qualitative and quantitative research, write high quality written reports and present research More ❯

We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

. Solid understanding of data governance, quality, lineage, and security within regulated environments. Working knowledge of AI/machine learning technologies and their practical applications in financial services use cases. Strong leadership, stakeholder management, and team development skills. Excellent communication, presentation, and problem-solving abilities. Why Join Novatus Global? Be at the forefront of shaping data & AI strategies More ❯

products to meet the clients’ business needs Showing a good understanding of compliance and sanctions risk management, relating it to product and service within the firm. Understanding customer use cases and requirements and in turn apply best practices for those customer implementations. Delivering, installing, and configures of all Fircosoft applications to specified requirements and provide technical training and More ❯

in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. More ❯

transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What We’re Looking For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including More ❯

face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Key responsibilities include: Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models. Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of Ultralytics More ❯

Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model deployment is robust, scalable, and aligned with product goals. Investigate large datasets to discover trends, resolve inconsistencies, and support high More ❯

Continuous monitoring of security and governance policies and improvement/revisions to them as Microsoft releases new features of the platform Provide architecture guidance to developers on their use cases Excellent hands-on knowledge of SharePoint, Canvas app, Dataverse, Model driven app and Power automate flows Experience in multiple applications integration Power Platform admin exp/hands-on More ❯

products to meet the clients’ business needs Showing a good understanding of compliance and sanctions risk management, relating it to product and service within the firm. Understanding customer use cases and requirements and in turn apply best practices for those customer implementations. Delivering, installing, and configures of all LNRS applications to specified requirements and provide technical training and More ❯

impact client settings but isn’t looking to build or implement technical solutions themselves. Key Responsibilities Lead stakeholder workshops to define AI transformation goals Identify and prioritise GenAI use cases Advise on AI governance, ethics, and regulatory frameworks (e.g. EU AI Act) Build high-level roadmaps, operating models, and strategic narratives Collaborate with cross-functional teams (Data, Engineering More ❯

impact role with direct influence on Windward’s strategic direction in generative AI. What will you do? Lead product discovery for GenAI-driven innovation in container logistics, identifying use cases with the potential for operational transformation. Partner directly with customers, sales, and domain experts to uncover inefficiencies in day-to-day workflows—particularly those ripe for GenAI intervention. More ❯

risk management processes aligned with NIST and other regulatory frameworks. Act as a subject matter expert on RSA Archer – configuring, managing, and optimising the platform for enterprise risk use cases. Develop and deliver high-quality risk assessments, technical documentation, and executive-level business reports. Collaborate cross-functionally with IT, security, and business stakeholders to ensure risk posture is More ❯

Domain Conducts analysis that identifies current business processes or system inadequacies and presents ideas for process and systems improvement that assist product teams in meeting customer needs. Creates use cases, user stories, functional specifications, diagrams and technical documentation as needed to articulate requirements. You will ideally have a Prince 2 qualification along with Agile. The role will be More ❯

drive the maturity of security monitoring, incident response, and threat intelligence capabilities, working closely with technical and business teams. Key Responsibilities: Develop and refine security monitoring controls and use-cases to detect threats and anomalies. Investigate security incidents, conduct forensics analysis, and manage incident response processes. Collaborate with independent penetration testing programs and support risk assessment processes. Implement More ❯

to drive automation, streamline processes, and improve self-service analytics across the business. Key Responsibilities Design, build, and maintain Anaplan models to support FP&A and wider finance use cases Act as the primary Anaplan system owner within the Finance function Lead and support other Anaplan Page Builders to deliver high-quality models and user experiences Ensure models More ❯