Data Scientist / Financial Intelligence Engineer
📍 Remote — Northern Ireland 💰 Salary negotiable DOE 🕐 Full-time, Permanen
t
At a Glan
* ceData science role at a US FinTech scale-up doing something genuinely n
* ewPython-first (Pandas, Polars, NumPy) with GCP and LLM exposu
* reFully remote across Northern Irela
* ndSalary negotiable depending on experien
* ceReal product influence — not dashboard maintenan
ce
About the Comp
anyA 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 dep
th.
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 prod
uct.
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 conversa
tion.
Key Responsibi
* litiesDeconstruct 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 eco
* nomicsBuild 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 in
* sightsCollaborate with engineering to productionise models into scalable, API-driven se
* rvicesContinuously refine the platform's financial ontology and underlying data
* modelsPrototype new analytical capabilities rapidly and iterate based on real custome
r data
What You'
ll NeedEs
* sentialStrong Python skills across Pandas, Polars, an
* d NumPyExperience working with messy, real-world data — not clean, curated d
* atasetsSolid understanding of financial concepts: P&L, cost structures, revenue recognition, unit ec
* onomicsAbility to move fluidly between data exploration, model design, and production t
* hinkingComfortable operating without perfect specs in a fast-moving product envi
ronmentDe
* sirableHands-on experience with LLMs — prompting, embeddings, or applied inference wo
* rkflowsFamiliarity with Google Cloud (BigQuery, Cloud Run, Vertex AI, or s
* imilar)Understanding of modern data architecture — batch/streaming, DAG-based orchestration, API-driven
* systemsExposure to ERP or finance systems (SAP, NetSuite, or s
* imilar)Background that blends engineering, analytics, and financial unders
tanding
Benefits &
* PackageSalary negotiable depending on ex
* perienceFully 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, no
* t opticsFlexible working env
ironment
*Candidates must be based in Northern
Ireland* Get in touch with Colin directly at colin@ochop
eople.com