676 to 700 of 885 Use Case Jobs in England

competitive landscape, translating insights into actionable strategies. Develop compelling product value propositions, messaging, and sales collateral to support sales teams in their efforts. Including owning customer segmentation/use cases and customer personas In close alignment with Product, be responsible for Sales enablement material Work closely with the marketing communications and growth teams to support the development of … value of Product marketing, to set the foundations for building out a product marketing function. Collaborate with sales and customer success teams to develop customer success stories, testimonials, and case studies to demonstrate the value of Oritain's solutions. Analyse and report on key performance metrics, providing insights and recommendations for continuous improvement. Stay updated on industry trends, competitors More ❯

behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions … challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business … requirements Work collaboratively with other teams to identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient More ❯

behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions … challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business … requirements Work collaboratively with other teams to identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient More ❯

Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. The Opportunity We are searching for … serve manner. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly … dynamic sales team. We are looking to speak to candidates who are based in London for our hybrid working model. Day to Day Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer More ❯

solution delivery. Why this role is unique: Massive leverage: Instead of solving a single customer problem, you will design generalizable solutions that unlock speed and scale across many use cases and teams Close to the action: You will partner tightly with our FDE teams and product managers to turn hands-on delivery lessons into reusable platform components Shape … transition, helping customers adopt AI faster and with more confidence. Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. Strategic influence: The lessons from forward-deployed efforts directly inform our core product … understand real-world customer problems and delivery bottlenecks Translate learnings from enterprise deployments into generalizable infrastructure, APIs, and tooling that support a wide range of current and future use cases Set the technical direction for our platform, making smart architectural decisions that balance flexibility, performance, and simplicity Define and refine the interface between platform and application teams, ensuring More ❯

technology-agnostic and strategically focused, requiring a blend of deep AI expertise, domain knowledge in finance, and strong stakeholder management skills. You will be responsible for structuring GenAI use cases, engaging with customers and internal teams, and orchestrating work across third-party technology partners, all while ensuring the secure, ethical, and regulatory-compliant deployment of AI capabilities across … the financial domain. Key Responsibilities: 1. Solution Architecture & Innovation Define and design GenAI-driven architectures tailored to finance-specific use cases, including: Intelligent document processing (KYC/AML) Conversational finance assistants (customer service, advisory) Automated risk and compliance workflows Synthetic data generation for testing and modeling Personalized financial insights and reporting Select the right GenAI technologies (open-source … to influence across matrixed organizations Risk-aware but opportunity-driven Why Join Us? Shape the next wave of AI transformation in financial services Work on complex, high-impact use cases across banking, insurance, and capital markets Collaborate with top-tier clients, partners, and AI researchers Competitive compensation and flexible work options More ❯

technology-agnostic and strategically focused, requiring a blend of deep AI expertise, domain knowledge in finance, and strong stakeholder management skills. You will be responsible for structuring GenAI use cases, engaging with customers and internal teams, and orchestrating work across third-party technology partners, all while ensuring the secure, ethical, and regulatory-compliant deployment of AI capabilities across … the financial domain. Key Responsibilities: 1. Solution Architecture & Innovation Define and design GenAI-driven architectures tailored to finance-specific use cases, including: Intelligent document processing (KYC/AML) Conversational finance assistants (customer service, advisory) Automated risk and compliance workflows Synthetic data generation for testing and modeling Personalized financial insights and reporting Select the right GenAI technologies (open-source … to influence across matrixed organizations Risk-aware but opportunity-driven Why Join Us? Shape the next wave of AI transformation in financial services Work on complex, high-impact use cases across banking, insurance, and capital markets Collaborate with top-tier clients, partners, and AI researchers Competitive compensation and flexible work options More ❯

fidelity fuel for AI-powered applications-including advanced analytics, real-time personalization engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands … and optimizing real-time and batch data pipelines that power personalization, recommendation engines, and predictive models - from streaming ingestion and transformation using Benthos , to materializing features for agentic use cases and customer-facing AI systems. Supporting our prospect/customer facing teams by showcasing the possibilities with Snowplow data, such as powering personalisation and recommendation systems, or developing … Responsible for developing and productizing data models , focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. We'd love to hear from you if: SQL and DBT are your thing . You master SQL, including manipulation of large data sets, performance tuning, etc You More ❯

robust integrations. Collaborate cross-functionally with design, engineering, customer success, sales, and data teams to ensure timely and effective delivery of integrations. Translate customer pain points and business use cases into scalable integration solutions, API requirements, and workflow enhancements. Prioritise features, enhancements, and bug fixes for integrations based on market trends, technical constraints, and strategic value. Collaborate with … engineering to ensure integrations are secure, performant, and scalable. Define success metrics and use data-driven insights to optimise integration adoption, performance, and reliability. Serve as the voice of the customer, gather feedback, run discovery sessions, and maintain a deep understanding of customer workflows. Build strong relationships with external partners and internal stakeholders to champion the integrations roadmap More ❯

Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step … by-step with customers to build bespoke solutions that harness the power of generative AI. ( generative-ai-innovation-center). We're looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a … executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine tune the right models, define paths to navigate technical or business challenges, develop proof More ❯

observability tooling, logging infrastructure, and cloud environments. Act as a senior technical escalation point for complex deployments or architectural challenges. Provide in-depth technical guidance on customer environments, use cases, and integration scenarios. Customer Excellence & Relationship Building Serve as a senior executive presence in critical customer engagements and escalations. Partner with top-tier customers to ensure technical adoption … value realisation, and long-term retention. Champion a customer-obsessed culture focused on outcomes, not just deliverables. Data-Driven Management Use customer usage and performance data to inform strategy, refine processes, and identify risk/opportunity areas. Lead TAM org reviews based on insights, trends, and team performance analytics. Collaborate on the development of tools and dashboards to More ❯

user states, events, and user journey mapping. Examples of projects this role would lead include: Multi-tool MarTech implementations, including CDP and Marketing Automation Platforms according to business use cases and prioritization alongside business strategists. Assisting in the creation of new marketing programs by translating technical requirements into the required code for various data sources, and how they … would flow down into each destination. Marketing automation migrations, including ensuring proper data schemas to maintain parity for clients' existing lifecycle programs, optimizing for new use cases, and enabling clients with new tool features. Optimizing clients' existing lifecycle programs by improving data accuracy, identifying schema improvements, or identifying other efficiencies to drive greater personalized messaging. The ideal candidate More ❯

Once trained up, members of the Support team will have a high level of working knowledge of Luminance's products, and will be able to explain how to use product features to solve customer pain points. The ideal candidate will be a real 'people person' with critical thinking skills and a desire to solve problems. Responsibilities Managing customer … query, whether that is responding directly on simple issues or bringing in a Technical Specialist to assist further Having a comprehensive understanding of the product Understanding the individual use cases and needs of each customer Requirements Bachelor's or Master's degree in a scientific or analytical discipline with a 2:1 or above (UK) or GPA of More ❯

We are , a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering 245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before. With 2,500+ employees across the globe, we grow through transparency … office (Fitzrovia). About The Role We are , a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering 245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before. With 2,500+ employees across More ❯

Location : London, United Kingdom - Will review exceptional candidates from anywhere Company Stage : Seed/Series A About Us We are an AI-native startup redefining how commercial teams use data to make smarter decisions. Backed by leading investors and trusted by some of the most iconic brands in sports and entertainment, we're building the intelligence layer for … post-sales point of contact for customers, building deep relationships and becoming a trusted advisor on AI adoption Account Growth : Drive upsell and expansion opportunities by identifying new use cases, business needs, and product fits across accounts Customer Advocacy : Represent the voice of the customer internally - capturing feedback, influencing roadmap, and aligning our platform with customer goals Success More ❯

Youll play a key role in designing and delivering advanced reporting and data visualisation solutions across a range of corporate services, with a particular emphasis on cutting-edge use cases in the A.E.C. (Architecture, Engineering, and Construction) industry. If youre passionate about helping clients unlock insights through engaging, interactive data experiencesand you enjoy working in collaborative, cross-functional … scalable, robust, and secure data visualisation solutions Develop and maintain custom visuals, integrating advanced interactivity using DAX, Power Query, and (ideally) JavaScript or web technologies Support projects that use Tableau, Qlik, or other data visualisation tools as needed Mentor less experienced team members and promote best practices in data visualisation, design, and storytelling Collaborate with data engineers, architects More ❯

ll play a key role in designing and delivering advanced reporting and data visualisation solutions across a range of corporate services, with a particular emphasis on cutting-edge use cases in the A.E.C. (Architecture, Engineering, and Construction) industry. If you’re passionate about helping clients unlock insights through engaging, interactive data experiences—and you enjoy working in collaborative … scalable, robust, and secure data visualisation solutions Develop and maintain custom visuals, integrating advanced interactivity using DAX, Power Query, and (ideally) JavaScript or web technologies Support projects that use Tableau, Qlik, or other data visualisation tools as needed Mentor less experienced team members and promote best practices in data visualisation, design, and storytelling Collaborate with data engineers, architects More ❯

s AI-powered product vision. We are responsible for building the internal platform, tooling, and APIs that enable Miro's product teams to seamlessly integrate and scale AI use cases.Our mission is to establish a robust and flexible technical foundation for AI innovation, enabling internal teams to move faster, build responsibly, and deliver world-class AI features to … into an increasingly intelligent product.You'll work on internal tools that empower teams to experiment with and ship AI features quickly and responsibly, and data pipelines for AI use cases. This is an exciting opportunity to shape how AI is built and adopted across the company. What you'll do Design, develop, and maintain backend services that support … Resilience, Empathy, Cognitive Agility & Accountability). This interview usually takes 90-120 minutes. 03. Skill Assesment An interactive presentation to see your skills in action, based around a particular case study or business problem. 04. Meet the Team Here you will meet cross-functional stakeholders, and we will ask evidence-based questions to evaluate how well you align with More ❯

language models (LLMs), inference mechanisms, and data integration workflows. Ensure compliance with enterprise-grade security, scalability, and performance standards. Build modular and reusable software components to support internal use cases and potential external productization. Stay ahead of industry trends and innovations, incorporating relevant advancements, including cutting-edge developments in LLMs and emerging AI frameworks such as LangChain, AutoGen … architectures, APIs, and data integration techniques. Experience with agentic workflows, automation, and managing unstructured/structured data. Familiarity with designing software solutions for reuse and scalability across different use cases. Exposure to emerging AI developer frameworks and open-source tooling (e.g., LangChain, AutoGen, DSPy) is a plus. Leadership Experience 10+ years of engineering leadership experience, including managing and More ❯

and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative … data scientists to understand data needs, representing key data insights in a meaningful way Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Define and manage Service Level Agreements for all data sets in allocated areas of ownership Solve challenging data integration problems, utilizing optimal Extract More ❯

partners. Host webinars, develop technical documentation, and maintain a centralized enablement resource hub. Lead technical onboarding for new partners and provide ongoing education. Share global best practices and use cases to drive consistency and elevate partner performance Sales Desk & Quoting Support Assist partners with quoting, solution design, and technical configurations. Act as a technical escalation point for pre … Sales Ops, and Engineering to align on roadmap and partner needs. Technology & Industry Expertise Apply knowledge of streaming, video workflows, and cloud platforms (AWS, Azure) to support partner use cases. Tailor support strategies to the unique needs of Tier 1, Tier 2, and Tier 3 partners across global regions. Skills and Qualifications 2-5 years' experience in sales More ❯

corresponding roadmap Coordinate with multiple partner product teams to lead agreement around a common backlog Collaborate with Strategic Partnership team to identify partners to support Experian's priorities Use data and analytics to inform product strategies and measure success Build a comprehensive market landscape perspective Build partner integration migration plans as we invest in and upgrade our capabilities … we are looking for someone with expertise in leading execution at pace Knowledge of the decisioning, fraud, ID verification and Credit Risk Decisioning markets - familiarity with important players, use cases, trends, and at least a basic understanding of digital data collection Experience delivering AI-driven products Collaborative - someone who can work with partners and values collaboration with other More ❯

Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain … set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a … work in the country in which the job you're applying for is located? Select Please describe your experience working on any personal or professional projects that make use of large language models to create complex or interactive functionality. Do you have expertise coding in Python? Select Additional Information Add a cover letter or anything else you want More ❯

leading SME teams and delivering regular presentations at conferences and industry events. You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with … conversations with C-level executives of financial institutions to develop relationships, orchestrate teams and influence outcomes to achieve long-term customer success. Skilled in identifying and prioritising key use cases, resource allocations, and investment focus. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Hands More ❯

drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to … Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯