At a Glance
- Tasks: Transform messy data into structured models and design profit intelligence frameworks.
- Company: Innovative Boston-based FinTech redefining financial intelligence.
- Benefits: Negotiable salary, fully remote work, and direct product influence.
- Other info: Join a small, high-trust team focused on impactful outcomes.
- Why this job: Shape a groundbreaking product and tackle real enterprise data challenges.
- Qualifications: Strong Python skills and experience with messy data required.
The predicted salary is between 50000 - 60000 £ per year.
Remote — Northern Ireland
Salary negotiable DOE
Full-time, Permanent
At a Glance
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. Salary negotiable depending on experience. Real product influence — not dashboard maintenance.
About the Company
A 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 Role
This 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 Responsibilities
- 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
- Prototype new analytical capabilities rapidly and iterate based on real customer data
What You'll Need
Essential
- Strong Python skills across Pandas, Polars, and NumPy
- 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
- Comfortable operating without perfect specs in a fast-moving product environment
Desirable
- Hands-on experience with LLMs — prompting, embeddings, or applied inference workflows
- Familiarity with Google Cloud (BigQuery, Cloud Run, Vertex AI, or similar)
- Understanding of modern data architecture — batch/streaming, DAG-based orchestration, API-driven systems
- Exposure to ERP or finance systems (SAP, NetSuite, or similar)
- Background that blends engineering, analytics, and financial understanding
Benefits & Package
- Salary negotiable depending on experience
- Fully remote — work from anywhere in Northern Ireland
- Direct influence on a category-defining product from day one
- Exposure to real, complex enterprise data problems
- Small team, high-trust culture — output matters, not optics
- Flexible working environment
*Candidates must be based in Northern Ireland*
Data Scientist in Warrington employer: Ocho
Join a pioneering Boston-based FinTech scale-up as a Data Scientist, where you'll have the opportunity to work fully remotely from Northern Ireland. With a strong focus on innovation and real product influence, you'll engage with complex enterprise data and contribute to a high-trust culture that values output over optics. Enjoy flexible working arrangements and the chance to shape a category-defining product from day one, all while being part of a small, dynamic team dedicated to redefining financial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and real-world datasets. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your financial concepts and data modelling skills. Be ready to discuss how you've tackled messy data and applied AI in your previous work. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Warrington
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python, especially with libraries like Pandas, Polars, and NumPy. We want to see how you've tackled messy data in the past, so share specific examples that showcase your skills!
Understand Financial Concepts:Since this role involves financial intelligence, it's crucial to demonstrate your understanding of concepts like P&L, cost structures, and unit economics. We love candidates who can connect data insights to real-world financial scenarios.
Be Ready for Ambiguity:This isn't a role for the faint-hearted! Show us that you're comfortable working without perfect specs and can thrive in a fast-paced environment. Share experiences where you've navigated uncertainty and still delivered results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better. Don’t miss out on the chance to be part of something genuinely new!
How to prepare for a job interview at Ocho
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas, Polars, and NumPy. Be ready to discuss how you've used these tools to tackle messy, real-world data in previous projects.
✨Understand Financial Concepts
Since this role involves financial intelligence, it's crucial to have a solid grasp of concepts like P&L, cost structures, and unit economics. Prepare to explain how you've applied these concepts in your work.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've deconstructed complex datasets or designed analytical models. Highlight your ability to work without perfect specs and adapt to fast-moving environments.
✨Familiarise Yourself with the Company’s Product
Research the company’s financial intelligence platform and understand its core functionalities. Think about how your skills can contribute to refining their financial ontology and enhancing their product offerings.
