Senior Data Scientist

Senior Data Scientist (AI/ML)

Location: Dublin, Ireland / Hybrid

Employment Type: 12 month Contract

Role Overview

We are seeking a highly analytical and technically strong Senior Data Scientist to join a growing data and analytics function. This role will focus on developing production-ready machine learning models, uncovering complex patterns in large datasets, and translating insights into real business impact.

You will work closely with business stakeholders and subject-matter experts to design analytical solutions, build AI-driven tools, and support both operational and strategic decision-making.

Key Responsibilities

• Analyse, review, and interpret complex datasets through the development of models and data-driven case studies.
• Develop, deploy, and maintain production-grade machine learning and deep learning models.
• Identify and explain key drivers of patterns and behaviours within data to support business insights.
• Contribute to the design and delivery of analytics-based tools and assets, including detection and monitoring of non-standard patterns.
• Collaborate closely with subject-matter experts and business stakeholders to explore challenges and design effective solutions.
• Present analytical findings clearly for both operational teams and senior business stakeholders.
• Support short- and long-term operational and strategic initiatives using data-driven insights.
• Conduct research, analysis, and implement recommended business solutions where appropriate.

Required Qualifications & Experience

• Master’s degree (or higher) in Statistics, Mathematics, Physics, Engineering, Computer Science, or a related highly quantitative discipline.
• Strong proficiency in machine learning, deep learning, and AI frameworks, including PyTorch.
• Proven hands-on experience building and deploying machine learning models into production environments.
• Strong understanding of model evaluation, optimisation, and performance monitoring.
• Excellent analytical and problem-solving skills.
• Ability to clearly communicate complex technical concepts to non-technical stakeholders.

Desirable / Nice to Have

• Experience working with real-world, large-scale datasets.
• Background in developing monitoring, detection, or anomaly-based models.
• Strong programming skills in Python.
• Exposure to cloud-based ML platforms (AWS, Azure, or GCP).
• Familiarity with MLOps, CI/CD, and model lifecycle management.