Senior Data Scientist

🔥 14 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Provenir

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

☁️ SaaS

💳 Fintech

🤖 Artificial Intelligence

SaaS • Fintech • Artificial Intelligence

Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.

📋 Description

• Own the strategy, design, and evolution of the identity graph and intelligence built on top of it • Develop identity resolution, identity intelligence, and fraud-solution capabilities across core products • Design and evolve a deterministic identity graph representing key entities, relationships, and business logic • Identify and prioritise features, signals, and patterns in 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 on ingestion, enrichment, validation, publishing, quality, and coverage workflows • 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 • Select technologies and patterns and create reusable documentation and decision frameworks • Establish data science standards, tools, methodology, and pragmatic LLM and agentic tooling use across Provenir AI • Mentor engineers and data scientists and grow a team as value is proven • Collaborate closely with engineering and product teams to ship production capabilities

🎯 Requirements

• 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 such as Neo4j, Amazon Neptune, JanusGraph, GraphFrames, NetworkX, or similar • Experience with identity resolution, entity resolution, or link analysis • Strong Python and SQL skills • Genuine product mindset and ability to prioritise based on business problems and product outcomes • 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 • Experience with graph-enabled products in identity, fraud, financial crime, risk, or AI-driven decisioning is advantageous • Experience with graph embeddings or other graph-native ML methods is advantageous • Experience with ontology design, semantic modelling, or taxonomy development is advantageous • Experience with large-scale distributed data processing such as Spark or Dask is advantageous • Experience building and growing data science teams is advantageous • Experience working in scale-up or early-stage environments is advantageous

🏖️ Benefits

• Comprehensive private health cover and wellness plans • Flexible and remote-friendly opportunities • Maternity/paternity leave • Retirement benefits such as pension contributions • Macbook Pro • Paid time off • Company holidays • Competitive compensation