client value with company profitability. CRM Discipline: Log all activities, updates and interactions accurately 100% CRM hygiene. Product Expertise: Stay current on Riskex s product roadmap, features and use cases. Market Knowledge: Monitor Health & Safety industry trends and evolving client priorities. Success Metrics: Consistently exceed quarterly sales targets and conversion KPIs. High demo-to-proposal conversion rate. Campaign More ❯
Milton Keynes, Buckinghamshire, England, United Kingdom Hybrid / WFH Options
Oscar Technology
site) Salary: £35,000 - £50,000 DOE + Bonus About Us We're a fast-growing data consultancy helping forward-thinking clients transform their customer engagement through intelligent use of CRM platforms and AI. We specialise in building integrated data ecosystems that drive smarter business decisions, better customer insights, and measurable ROI. Our clients range from scaling SaaS … customer lifecycle metrics Comfortable working in a fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning usecases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting More ❯
system requirements. Analyse and document current and future state business processes, identifying areas for improvement and optimisation. Documentation and Specification: Create clear and concise functional specifications, user stories, usecases, and process flows based on gathered requirements. Develop detailed business requirements documents (BRDs) and ensure alignment with technical teams, project objectives and stakeholders. Manage & maintain accurate and up … team to define test scenarios, validate test results, and ensure that the implemented solution meets the defined requirements. Support user acceptance testing (UAT) by providing guidance, assisting with test case creation, and addressing user feedback. Continuous Improvement: Monitor and evaluate system performance and user feedback, identifying areas for improvement. Proactively contribute to process improvements and suggest innovative ideas to More ❯
system requirements. Analyse and document current and future state business processes, identifying areas for improvement and optimisation. Documentation and Specification: Create clear and concise functional specifications, user stories, usecases, and process flows based on gathered requirements. Develop detailed business requirements documents (BRDs) and ensure alignment with technical teams, project objectives and stakeholders. Manage & maintain accurate and up … team to define test scenarios, validate test results, and ensure that the implemented solution meets the defined requirements. Support user acceptance testing (UAT) by providing guidance, assisting with test case creation, and addressing user feedback. Continuous Improvement: Monitor and evaluate system performance and user feedback, identifying areas for improvement. Proactively contribute to process improvements and suggest innovative ideas to More ❯
the AI Finance Lead; Design, build, and deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI usecases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate … AI models with IT and finance systems for streamlined, operational use Ensure interpretability and auditability of AI systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity More ❯
the AI Finance Lead; Design, build, and deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI usecases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate … AI models with IT and finance systems for streamlined, operational use Ensure interpretability and auditability of AI systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity More ❯