Data Scientist / Financial Intelligence Engineer?? Remote - Northern Ireland ?? Salary negotiable DOE ?? Full-time, PermanentAt a GlanceData science role at a US FinTech scale-up doing something genuinely newPython-first (Pandas, Polars, NumPy) with GCP and LLM exposureFully remote across Northern IrelandSalary negotiable depending on experienceReal product influence - not dashboard maintenanceAbout the CompanyA Boston-based financial intelligence platform redefining how profit is modelled and understood. Rather than layering on more reporting, they've built an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a unified, structured picture of profit, cost distortion, and operational performance. Early-stage, well-funded, and building something with genuine intellectual depth.The RoleThis isn't an analytics role. You'll be working directly on the models that underpin the platform - deconstructing messy, real-world enterprise data, designing profit intelligence frameworks, and applying AI to infer relationships and generate explainable financial insights. You'll collaborate closely with engineering to push models into production, and contribute to the evolution of a proprietary financial ontology that sits at the core of the product.If you're comfortable with ambiguity, think in systems rather than outputs, and want your work to actually shape a product - this is worth a conversation.Key ResponsibilitiesDeconstruct customer datasets (ERP, GL, AR/AP, CRM, etc.) into structured, usable analytical modelsDesign and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economicsBuild data pipelines and transformation logic in Python (Pandas, Polars, NumPy)Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insightsCollaborate with engineering to productionise models into scalable, API-driven servicesContinuously refine the platform's financial ontology and underlying data modelsPrototype new analytical capabilities rapidly and iterate based on real customer dataWhat You'll NeedEssentialStrong Python skills across Pandas, Polars, and NumPyExperience working with messy, real-world data - not clean, curated datasetsSolid understanding of financial concepts: P&L, cost structures, revenue recognition, unit economicsAbility to move fluidly between data exploration, model design, and production thinkingComfortable operating without perfect specs in a fast-moving product environmentDesirableHands-on experience with LLMs - prompting, embeddings, or applied inference workflowsFamiliarity with Google Cloud (BigQuery, Cloud Run, Vertex AI, or similar)Understanding of modern data architecture - batch/streaming, DAG-based orchestration, API-driven systemsExposure to ERP or finance systems (SAP, NetSuite, or similar)Background that blends engineering, analytics, and financial understandingBenefits & PackageSalary negotiable depending on experienceFully remote - work from anywhere in Northern IrelandDirect influence on a category-defining product from day oneExposure to real, complex enterprise data problemsSmall team, high-trust culture - output matters, not opticsFlexible working environment*Candidates must be based in Northern Ireland* Get in touch with Colin directly at Skills:Python Pandas LLM PolarsBenefits:Work From HomeWHJS1_NI