…The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will…

…You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring…

…Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around…

…data scientists, and you earn trust through technical credibility. Business fluency: you can discuss diligence findings, asset valuation, and scientific risk with senior leaders…

…with data scientists, product managers and other XFN partners to build business insights, develop product features and respond to fraud attacks and risk issues…

…advance program goals and mitigate technical risks. • Mentor scientists and engineers, communicate complex technical topics to senior leaders and external stakeholders, and contribute to…

…Data is central to how we understand our customers, shape our products, manage risk and grow Monzo sustainably. We believe in empowering teams with…

…risks. We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining…

…and risk and control alignment. You will apply design thinking to frame problems and develop scalable solutions. You will support data scientists with clear…

…data scientists, product managers, architects, and technology partners to achieve business outcomes. Drive coordination and communication with senior stakeholders to advance the DDLC strategy…

…As an Analyst supporting the Core pillar, you will turn customer and business data into insights that inform strategy for one of the Consumer…

…analytics that senior leaders can act on; turning complex data into clear, confident decisions. You’ll partner closely with Lending Strategy and Product leaders…

…Provide technical and strategic guidance and advice on ML project design and de-risking across multiple teams, drawing on deep intuition for what drives…

…and in-memory data architectures optimized for real-time risk evaluation, pattern matching, and high-frequency aggregate state lookup. Observability Strategy: Define and implement…

…and in-memory data architectures for real-time risk evaluation, pattern matching, and high-frequency aggregate state lookup. Observability Strategy: Define and implement enterprise…

…and in-memory data architectures for real-time risk evaluation, pattern matching, and high-frequency aggregate state lookup. Observability Strategy: Define and implement enterprise…

…or risks, executing mitigation strategies when issues arise. Cross-Functional Leadership: Lead multidisciplinary, cross-functional squads of engineers, designers, and data scientists (without direct…

…Identify and mitigate business/technical risks specific to AI systems (data access, prompt injection, hallucinations, privacy, compliance, latency, cost); propose safeguards and fallback behaviors…

…senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy. Key job responsibilities Working with customers’ development and data science…

…As a Senior Data Scientist in this space, you will: Be the second Applied Inference Data Scientist in Media Science Data Science & Engineering, helping…

…and data capabilities. Mentor applied scientists and engineers; raise the bar for scientific rigor, experimentation, documentation, and technical execution. Communicate technical findings, risks, tradeoffs…

…They will give teams confidence in how agentic systems behave, where nondeterminism creates risk, which gaps matter, and where to address them. Their work…

…Defines risk mitigation activities that are foundational to the project plan. Defines risk contingency plans for invocation should the risk occur. When appropriate, oversees…

…Later, you could work with engineers and scientists on an AI agent that detects inventory risks or automates an operational workflow, review adoption and…

…for fraud detection and risk assessment; support modeling teams in implementation and tooling. Production Alize models built by data scientists, including validation readiness and…