501 to 525 of 2,051 Remote Decision-Making Jobs

launch and scale new products or major enhancements Agile development familiarity and comfort working in fast-paced, global environments High empathy for users paired with strong analytical and decision-making skills Excellent communication and facilitation skills — both written and verbal What You Will Get: A remote-first role with great flexibility and benefits The opportunity to work on More ❯

data visualisation tools Experience working with backend teams, ideally in a B2B or SaaS context Understanding of how AI or LLMs can be applied to data transformation or decision-making workflows Experience mentoring others or leading on cross-team delivery Location & Ways of Working: Hybrid role; typically 1–2 days a week in their London office. The team More ❯

data visualisation tools Experience working with backend teams, ideally in a B2B or SaaS context Understanding of how AI or LLMs can be applied to data transformation or decision-making workflows Experience mentoring others or leading on cross-team delivery Location & Ways of Working: Hybrid role; typically 1–2 days a week in their London office. The team More ❯

leader in the transformation of global work. Summary The Data Scientist is responsible for analyzing complex data to uncover valuable insights, build predictive models, and support data-driven decision-making across the company. You will work closely with various teams to design and implement models that drive business outcomes, optimize processes, and solve problems across departments such as More ❯

scientists, engineers, and analysts to solve complex business challenges. You'll apply the data science lifecycle to develop, deploy, and maintain production-grade models, collaborating with stakeholders on decision-making, pricing, and monitoring solutions. Key Responsibilities Apply the data science lifecycle (design, EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science More ❯

scientists, engineers, and analysts to solve complex business challenges. You'll apply the data science lifecycle to develop, deploy, and maintain production-grade models, collaborating with stakeholders on decision-making, pricing, and monitoring solutions. Key Responsibilities Apply the data science lifecycle (design, EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science More ❯

management and prioritisation skills, with a proactive and organised approach. Be a confident communicator with strong writing, presentation and creative design skills. Be skilled in problem-solving and decision-making, with sound judgement and attention to detail. Comfortable using Microsoft 365 tools including SharePoint, PowerPoint, Teams and Power BI. A commitment to inclusive practice, with the confidence to More ❯

solutions + Copilot studio to enhance business productivity through AI Lead discovery workshops and demos to align technical delivery with business goals Leverage agentic AI tools to enhance decision-making and operational efficiency Support broader Power Platform initiatives including Power Apps and Power BI as needed What We're Looking For: Solid experience developing end-to-end solutions More ❯

relevant fraud typologies (e.g., account takeover, APP fraud, card fraud). Familiarity with fraud monitoring tools (e.g., Actimize, Feedzai, SAS, ThreatMetrix) and fraud case management systems. Strong analytical, decision-making, and problem-solving skills. Experience working with cross-functional teams in a fast-paced, tech-driven environment. Excellent communication skills, both written and verbal. What We Offer Competitive More ❯

including regular reviews and audits. Ensure compliance with data-related regulations and manage data-related risks. Support the Data Governance Manager in leading and facilitating council meetings, driving decision-making processes and ensuring alignment with organisational objectives. Base Location: Reading - Hybrid.Working Pattern: 36 Hours. What you should bring to the role Strong understanding of data governance principles and More ❯

reports, identifying trends, and delivering actionable insights that drive business decisions across the revenue funnel. You'll help us understand key business trends, uncover inefficiencies, and support smarter decision-making - with your experience in analytics, SaaS metrics, and financial forecasting. Responsibilities: Data Analysis & Insight Assist with analysing business and financial data to identify trends, risks, and opportunities Support More ❯

as the first point of contact for escalations and workload prioritization. Review and advise on solution designs, ensuring alignment with security requirements and identifying potential risks. Support security decision-making and approvals, funnelling key decisions to the Group Head. Work across multiple business functions, supporting both on-prem and cloud environments (primarily AWS , with some GCP and Azure More ❯

business credibility and market position. Help develop and refine business strategies that align with short- and long-term company goals. Conduct market research and gather data for key decision-making processes. Assist in project management tasks, including setting timelines, organizing deliverables, and tracking project progress. Provide administrative support in preparing business reports, presentations, and proposals. Collaborate with the More ❯

as waterfall model or agile approaches Good verbal and written communication skills with technical and non-technical audiences at different hierarchical levels Coaching of internal staff Good analytical, decision-making, problem-solving, interpersonal, teamwork, negotiation, conflict management and time management skills Ability to persuade and influence others of the best course of action Knowledge of Financial products and More ❯

queries, and application architectures Provide guidance on best practices for graph data modeling and querying Consider performance trade-offs of various graph modeling approaches and contribute to technical decision-making Required Qualifications: Bachelor's degree + 4 years of relevant experience or Masters + 2 years Graph Theory Fundamentals: Strong understanding of graph theory concepts including nodes, edges More ❯

practices in engineering Collaborating with DevOps engineers to implement CI/CD pipelines for supporting ongoing software quality Building effective relationships with clients and stakeholders, offering options for decision-making, and providing commercially sound advice and solutions Offering formal and informal advice and guidance in the development of strategies, frameworks and standards as required Collaborating with Engineering, User More ❯

Group’s Contract Lifecycle Management (CLM) system. Strategic Legal Support: Provide legal advice to management on key strategic initiatives, identifying and addressing potential legal challenges early in the decision-making process. Legal Process Optimization & Awareness: In collaboration with the Legal team, develop and deliver training programs to raise legal and compliance awareness across the business. Enhance or create More ❯

that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex More ❯

that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex More ❯

projects, from gathering user requirements to implementing cutting-edge solutions. Using your expertise in SAP data modeling, ETL, and data quality to lead the success of data-driven decision-making for our customers. Provide guidance and support to colleagues in implementing data structures and models Coaching colleagues. For this role we are looking for the following skills & experiences More ❯

tools like Azure DevOps Pipelines or GitHub Actions. Comfortable working in Agile environments and contributing to iterative product development. Bonus if you have: Experience integrating models into operational decision-making processes or logistics platforms. Exposure to Agile delivery methodologies or working in cross-functional squads. What You’ll Get in Return A leadership role where your work has More ❯

team and work alongside our funding managers, playing a crucial role in driving targeted campaigns and CRM engagement strategies. J ob overview At Swoop, we prioritise data-driven decision-making to optimise our marketing strategies and deliver exceptional customer experiences. As the Senior CRM Executive will report into the CRM Marketing Manager working within the global marketing team More ❯

ideal role for someone who's not just interested in what the data says, but why; someone curious, commercially minded, and eager to interpret insights that will inform decision-making across the wider business. We're also on an exciting journey into personalisation as a core part of our digital and data strategy. If you're keen to More ❯

networks • Excellent oral/written communication, planning, project management, networking and influencing skills. • Strong project management skills and the ability to manage a team of professional staff, including decision-making, time management, prioritisation, organisation, and evaluation skills • Experience of regulation impacting banking clients and knowledge of new regulatory developments impacting them • Flexibility and agility to contribute to a More ❯

Data Quality Analyst, with strong T-SQL skills who can keep business-critical information accurate, consistent and actionable. Your work will directly support community-facing services and strategic decision-making across a complex IT network and infrastructure (RMS, mobile and CAD platforms). Key Responsibilities Validate, cleanse and enrich large, operational datasets; fix anomalies before they hit production. More ❯