1 to 25 of 54 Use Case Jobs in Central 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 ❯

requirements. Lead and facilitate structured workshops, stakeholder interviews, and working groups to extract detailed requirements for new and existing strategic initiatives. Translate complex business needs into user stories, use cases, and functional specifications, ensuring alignment with development team capabilities. Provide regular updates to stakeholders through status reports, dashboards, and presentations, ensuring transparency and accountability. Display a strong delivery More ❯

accessible, and production-grade data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL 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 ❯

of the Security Operations Center (SOC) to ensure Service Level Objectives are achieved. Continuously monitoring security alerts and incidents using SIEM tools and other security technologies. Creating detection use cases in the SIEM, analysing security event data for proactive threat hunting, and conducting research on the latest threats and vulnerabilities to enhance incident response readiness and capabilities. Responding More ❯

Development. *Scope and evaluate requests for BA support within the programme. *Applies a wide range of business analysis skills and techniques to create as-is and to-be use cases to support business and technical change. *Investigate and solve a variety of complex problems, including Business Process Analysis, presenting options to stakeholders inside and outside the programme. *Process … design; creation of guardrails documents to support migration and outcome delivery. *Conducting various business analyst activities dependant on the programme requirements and priorities. Required qualification: Use of relevant methodologies and professional qualification … such as CBAP, CCBA. ECBA. PMI-PBA Required experience: *6+ years' experience working in Business Analysis *Experience using PESTLE analysis, business process modelling, root cause analysis, use case modelling Essential skills: *Initiates and facilitates communication with a diverse set of senior stakeholders within the business, other Government departments and suppliers *Experience of different strategic analysis techniques such 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 ❯

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 ❯

Familiarity with trade lifecycle processes: d eal entry, confirmation, scheduling, pricing, risk reporting, P&L, settlement. Strong analytical and documentation skills: B RD, FRD, process mapping, data dictionaries, use cases. Excellent stakeholder management skills with the ability to engage t raders, risk managers, IT, and operations. Ability to work in f ast fast-paced agile environment a nd 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 ❯

teams to contain and remediate security incidents. Create dashboards, workbooks, and reports for stakeholders. Perform threat hunting activities and support continuous improvement of SOC processes. Maintain and enhance use cases, playbooks, and automation (e.g., with Logic Apps or SOAR). Ensure SIEM solutions are properly integrated with data sources (e.g., firewalls, endpoints, cloud services). Support compliance 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

. 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 ❯

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 ❯

for growth. - Work with existing clients within P&C Insurance and Broker accounts, understanding this data, analytics and cloud needs. - Leading onshore and offshore teams to delivery analytical use cases and projects in functional areas such as Claims, Underwriting, Finance, Operations and Actuarial. - Working closely with different teams including sales, product, marketing and customer support. - Acting as the More ❯

the ability to jump in and review code, so a strong background in software development is required You will be delivering Proof of Concepts You will be driving use cases and building business cases for our solutions, with some pre-sales involvement You'll ideally have a background in financial services You will have strong experience in Agile 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 ❯