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 output.
- 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 30000 - 40000 £ per year.
A 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. They have 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 Belfast employer: Ocho People
Join a pioneering US FinTech scale-up as a Data Scientist, where you'll have the opportunity to work remotely from anywhere in Northern Ireland. With a strong focus on innovation and real product influence, this role offers a collaborative, high-trust culture that values your contributions and encourages professional growth. Enjoy the flexibility of a fully remote position while tackling complex enterprise data challenges and shaping a category-defining financial intelligence platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving messy real-world data. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and financial concepts. Be ready to discuss how you've tackled complex data problems and how you can contribute to building innovative solutions.
✨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 Belfast
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 is all about financial intelligence, it's crucial to demonstrate your understanding of key concepts like P&L, cost structures, and unit economics. We love candidates who can connect the dots between data and financial insights!
Be Yourself:We appreciate authenticity! Don’t be afraid to let your personality shine through in your application. Share your passion for data science and how you approach problem-solving in a fast-paced environment.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the conversation!
How to prepare for a job interview at Ocho People
✨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 datasets in the past, as this role is all about transforming real-world data into structured models.
✨Understand Financial Concepts
Since this position 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 previous projects or roles, as it will show your ability to connect data science with financial insights.
✨Showcase Your Problem-Solving Skills
This isn't just about analytics; it's about deconstructing complex data and designing frameworks. Be prepared to share examples of how you've approached ambiguous problems in the past and how you think in systems rather than just outputs. This will demonstrate your fit for the fast-moving product environment.
✨Familiarise Yourself with LLMs and GCP
If you have experience with large language models or Google Cloud, make sure to highlight it. Even if you don't have hands-on experience, understanding the basics can set you apart. Discuss any relevant projects or theoretical knowledge you have, as this could be a key differentiator in your interview.
