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Principle Data Scientist

Provenirinc
CompanyProvenirinc
CategoryUncategorised
LocationUnited Kingdom
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified3 Aug 2026
SourceEmployer ATS (ashby)
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Description
Who We Are Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end- to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us. 📍 Remote first – UK/Europe 🛠️ Python, SQL, graph analytics, identity/entity resolution, AWS 🚀 Own the strategy and build of our identity graph and graph-driven identity intelligence 🕛 Senior individual contributor – deep graph expertise, hands-on, with the ambition to grow a team 💰 Competitive compensation 💚 Fantastic benefits including Health Plans, WFH allowance and Macbook Pro We are Provenir AI, part of the Provenir group — a global fintech building the decisioning and analytics products that financial services and other industries rely on to make smarter, faster decisions. You'll own the strategy, design, and evolution of our identity graph and the intelligence we build on top of it powering identity resolution, identity intelligence, and next-generation fraud solutions across our core products, including our 1datapipe® platform and Living Identity® data. This is a senior individual contributor role that pairs deep graph and entity-resolution expertise with genuine product thinking. You'll be hands-on from day one, shaping how the graph is built, queried, and enriched and how it becomes real product capability. As you prove the value, you'll grow a data science team around you over time. You'll thrive here if you like autonomy, don't need a fully formed data science org around you, and are motivated by shipping intelligence that improves the product working embedded with engineering and product teams. WHAT YOU'LL OWN - The core identity graph model and its long-term evolution - Feature discovery from entity relationships and connected data - Product capabilities built on the graph, and the analytical workflows behind them - Standards for how identity intelligence is built, validated, explained, and reused - Technical direction on the analytical methods, graph libraries, and tooling we build with partnering with engineering on the underlying data architecture - Cross-functional alignment between product goals and our data capabilities - Data science standards, tools, and methodology across Provenir AI — how we experiment, validate, and ship - Pragmatic use of LLMs and agentic tooling to add value, whether internally for productivity or directly in the product YOUR RESPONSIBILITIES - Design and evolve a deterministic identity graph that represents key entities, relationships, and business logic - Identify and prioritise the features, signals, and patterns in our connected data that create product value - Build and guide analytics pipelines for link analysis, identity resolution, clustering, ranking, anomaly detection, and discovery - Partner with data engineers to define ingestion, enrichment, validation, and publishing workflows into the identity data - Work with product managers and stakeholders to translate ambiguous business problems into product features - Prototype and evaluate approaches for identity resolution, identity intelligence, fraud detection, and risk intelligence - Partner with data engineers to define the quality and coverage signals that matter for trustworthy identity intelligence — coverage, match confidence, and accuracy - Select the righ
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