Data Scientist

Data Scientist focuses on deconstruct customer datasets (erp, gl, ar/ap, crm, etc.) into structured, usable analytical models.

What the role involves

• Deconstruct customer datasets (ERP, GL, AR/AP, CRM, etc.) into structured, usable analytical models.
• Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics.
• Build 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 insights.
• Collaborate with engineering to productionise models into scalable, API-driven services.
• Continuously refine the platform's financial ontology and underlying data models.

Skills and requirements

• Experience working with messy, real-world data - not clean, curated datasets.
• Solid understanding of financial concepts: P&L, cost structures, revenue recognition, unit economics.
• Ability to move fluidly between data exploration, model design, and production thinking.
• Hands-on experience with LLMs - prompting, embeddings, or applied inference workflows.

Confirmed role details

• Northern Ireland Salary negotiable DOE Full-time, Permanent.
• Data science role at a US FinTech scale-up doing something genuinely new.
• Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure.
• Fully remote across Northern Ireland.