We are recruiting a Data Scientist with applied machine learning experience to join one of our customers in Dublin. This is an excellent opportunity to join a dedicated analytics team working on core projects with multiple areas across the business. You will work in a team of multiple individuals in the data domain including engineers, analysts, and other teams.
Responsibilities:
- Build automated solutions for classification, entity recognition and extraction using Natural Language Processing or Image Processing techniques.
- Build data pipelines using data science and machine learning techniques to solve business problems.
- Maintain and improve existing data science pipelines.
- Derive insights from analysis of large internal or external data sets and recommend potential business uses.
- Interact with the business to understand their needs and requirements.
- Prepare and deliver presentations and visualisations, making actionable and business focused recommendations for improvement.
- Work collaboratively within the team and share best practices.
Requirements:
- Masters+ in Statistics, Engineering, Mathematics or Computer Sciences.
- 3+ year ’ s work experience in a Data Science role.
- Proven experience using Python and Deep Learning required.
- Knowledge of Natural Language Processing required.
- Ability to work on multiple projects at the same time .
- Able to apply analytical problem solving, make recommendations, and implement improvements continuously in a dynamic environment.
- Communicate clearly and concisely to both technical and non-technical audience .
- Good understanding of machine learning models and data science process (feature engineering, modelling, etc.) required.
- Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing.
- Experience using API frameworks to perform OCR or call LLMs.
- Dealing with unstructured data.
- Working in an MLOPS or agile environment (Sprints, Kanban, code versioning).
- Working with cloud service (Preferably Azure).
