- Location: Dublin, Ireland, primarily remote with occasional in-person collaboration
- Team: Product
- Reporting to: Head of Product, US-based
- Must have Irish/EU Citizenship
Cpl are partnering with an innovative international technology organisation to recruit a Data Scientist for its growing Product team in Ireland.
This is a hands-on position for a Data Scientist who enjoys solving complex, loosely defined problems and taking ownership from initial investigation through to production delivery. The successful candidate will work across statistical modelling, machine learning, data engineering and analytical problem-solving.
You will contribute to the development of predictive models, classification solutions and scalable data pipelines. The role offers the opportunity to work closely with product, engineering and customer-facing teams while helping turn large and complex datasets into practical insights and reliable technical solutions.
Key responsibilities
- Investigate open-ended data problems, define an appropriate approach and independently develop solutions through testing and iteration.
- Design, develop and maintain machine learning models and production-grade data pipelines.
- Prepare, clean and structure large, complex and sometimes unstructured datasets for analysis and modelling.
- Develop and improve predictive, classification and entity-resolution models.
- Measure model performance against real-world outcomes and refine solutions using data-led feedback.
- Determine when traditional machine learning, automated data integration or LLM-based techniques are most appropriate.
- Work with product, engineering and business stakeholders to translate commercial or methodological questions into clear technical solutions.
- Provide understandable explanations of areas such as model performance, bias, data confidence and coverage limitations.
- Use Python, machine learning libraries, databases and querying tools across the full development lifecycle.
- Explore new technologies and AI-assisted workflows that can improve delivery speed and quality.
- Maintain clear documentation covering methodologies, code, models and data structures.