Data Scientist

We are building advanced analytics and machine learning solutions on top of our high-performance FinTech platform. As part of the LLM & ML Analytics Team, you’ll automate, design, implement, and deploy monitoring, reporting, and forecasting systems - delivering actionable insights and enabling advanced workflows, including natural language analytics powered by LLM agents.

Prior to advancing with your application, we kindly request that you review the

CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated.

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• Develop statistical models and machine learning algorithms (e.g., anomaly detection, clustering, regression) with an understanding of customer demands.
  
• Prepare, engineer features, and analyze large-scale financial datasets.
  
• Build and maintain production-ready ML pipelines for model training, validation, and performance monitoring.
  
• Design and implement workflows for reporting, alerting, and forecasting.
  
• Develop and refine LLM-powered agents to enable natural language interaction and analytics automation.
  
• Drive the deployment and support of your products.
  

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• 2-4 years of experience in Data Science, including hands-on development and validation of statistical models and ML solutions.
  
• Strong proficiency in Python and data analysis libraries (numpy, pandas, scikit-learn, LightGBM).
  
• Solid understanding of Object-Oriented Programming (OOP) principles and mandatory experience writing unit tests.
  
• Solid knowledge of database systems and ETL processes (SQL, data aggregation).
  
• Practical experience integrating LLM APIs and related tools (OpenAI API, MCP, Langfuse).
  
• Strong engineering focus on product integration and deployment.
  
• Proficient spoken, written, and reading English skills required.
  

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• Understanding of financial market data and experience working with FinTech platforms.
  
• Experience working with time series data and forecasting models.
  
• Strong foundation in statistics and probability theory.
  
• Exposure to advanced LLM techniques and frameworks (e.g., RAG, LangGraph, multi-agent pipelines).
  
• Experience with MLOps practices, containerization, CI/CD pipelines, and model monitoring in production.
  

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• Join a high-caliber team at the intersection of AI and FinTech.
  
• Drive the development of business-critical features and share your expertise through technical articles and demos.
  
• For example, here is our medium space where we publish our achievements.
  
• Work with a cutting-edge stack: LightGBM, Langchain, Langfuse, AWS and more.
  
• Influence the direction of our products and deliver rapid, tangible impact.
  
• Enjoy a collaborative environment with fast release cycles and a strong engineering culture.
  

This role follows a hybrid work model and requires regular in-office collaboration. Candidates should be based within commuting distance of one of our offices:

Belfast – The Weaving Works, Ormeau Avenue, Northern Ireland

Dublin – 1 George’s Quay Plaza, Dublin 2, Republic of Ireland

As an Equal Employment Opportunity (EEO) Employer, OneMarketData prohibits discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived race or color, size (including bone structure, body size, height, shape, and weight), religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, gender identity (one’s internal deeply‑held sense of one’s gender which may be the same or different from one’s sex assigned at birth); gender expression (the representation of gender as expressed through, for example, one’s name, choice of pronouns, clothing, haircut, behavior, voice, or body characteristics; gender expression may not conform to traditional gender‑based stereotypes assigned to specific gender identities), disability, marital status, relationship and family structure (including domestic partnerships, polyamorous families and individuals, chosen family, platonic co‑parents, and multigenerational families), genetic information or predisposing genetic characteristics, military status, domestic violence victim status, arrest or pre‑employment conviction record, credit history, unemployment status, caregiver status, salary history, or any other characteristic protected by law.

The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.