Developing and implementing AI algorithms and solutions to address complex business problems.
Collaborating closely with cross-functional teams to understand business requirements and integrate AI models into applications and systems.
Designing and building scalable machine learning pipelines and infrastructure.
Optimising AI models for performance, scalability, and efficiency.
Ensuring the ethical and responsible use of AI technologies in all projects.
Staying current with the latest advancements in AI and machine learning to apply best practices.
Providing technical expertise and guidance on AI projects, managing stakeholder relationships, and building client trust.
Coaching and mentoring junior team members, offering both technical and non-technical support.

A minimum of a third-level degree in Computer Science, Statistics, Engineering, Mathematics, or a related discipline, with solid experience deploying AI and data-driven applications in production environments.
Proficiency in statistical analysis, data mining, machine learning techniques, and working with large datasets using distributed computing tools such as Hadoop or Spark.
Strong programming skills in Python, R, and SQL, alongside experience with Large Language Models (OpenAI, Anthropic, LLama, Gemini, etc.), including fine-tuning and prompt engineering.
Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and familiarity with data visualisation tools such as Tableau or PowerBI is advantageous.

Senior Data Scientist

Key skills