Senior Data Scientist

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 — 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.

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

Strong experience in graph data science, knowledge graphs, or graph/network analytics

Hands-on experience building and working with graph structures using libraries or databases (e.g. Neo4j, Amazon Neptune, JanusGraph, GraphFrames, NetworkX, or similar)

Experience with identity resolution, entity resolution, or link analysis

Strong Python and SQL skills

A genuine product mindset, you start from the business problem and the product outcome, not the technique, and you can prioritise accordingly

Ability to design analytical approaches from ambiguous problems

Track record of operating in production environments with quality, scale, and reliability requirements

Strong communication skills and comfort working embedded with product and engineering teams

Although not essential, it would be great if you have experience with:

Building graph-enabled products in identity, fraud, financial crime, risk, or AI-driven decisioning

Graph embeddings or other graph-native ML methods

Ontology design, semantic modelling, or taxonomy development

Large-scale distributed data processing (e.g. Spark, Dask)

Building and growing data science teams

Working in scale-up or early-stage environments

This is a genuinely hands-on role. You'll be writing code and building graph pipelines yourself, not just directing and that's expected to remain true for the foreseeable future. The "grow a team" part comes after you've proven the value and established the foundations.

You'll be the most senior data scientist in the Provenir AI team, which means real independence and impact, but also means you won't have a large peer group of data scientists around you initially. If you thrive when given ownership and like building things from scratch, this could be ideal.

Much of the work is about making relationship data better, more connected, and more usable not just building models for their own sake. Credibility comes from shipping production capabilities that improve the product, working very closely with software and data engineers.

The identity graph and Living Identity® data are the priority and where you'll make your mark first. Over time, as the most senior data scientist, you'll also shape how data science is done across Provenir AI the tools, methods, and pragmatic use of LLMs and agents that add value, whether internally or in the product.

The interview process would typically be structured as follows:

Team Fit. A conversation with our CTO to explore how you work, what you're looking for, and how you'd fit with the team

Case Study. We'll share a realistic identity/graph data problem for you to work through ahead of the next round

Technical Interview. With data science and/or engineering leadership — you'll present and discuss your case study, and we'll explore your approach to graph and identity problems, production systems, and team building

Final Interview. A conversation with our CEO on vision, impact, and how you'd approach the first 90 days