Company Description

Idiro Analytics is a pioneer in AI and data analytics with nearly two decades of experience. We have analysed the data of over 20% of the world’s population, providing us with unique insights into human behaviour and enabling deep expertise in customer and propensity analytics. Our AI models and analytics have been invaluable to businesses across telecoms, healthcare, insurance and the public sector. Idiro is committed to responsible innovation, making us a trusted guide for organisations navigating the complex landscape of advanced analytics, machine learning and AI.

Role Description

We are seeking a Senior Machine Learning Expert - a guru - to join our Dublin-based team (hybrid model with flexibility for remote work). This is a senior, hands-on and leadership role. You will be responsible for designing and delivering advanced ML models, particularly propensity models, building and managing ETL pipelines, and ensuring solid data foundations using SQL and cloud technologies.

The role involves collaborating closely with clients and internal stakeholders, and communicating complex technical insights in clear, business-focused terms. You will also help shape Idiro’s ML strategy and ensure best practices in modelling, engineering, and statistical rigour.

Qualifications

• 8+ years of professional experience in machine learning and data science, with strong emphasis on propensity modelling in a commercial setting such as telecoms, banking or insurance
• Advanced expertise in SQL, Python, ETL processes, cloud platforms and statistics
• Strong leadership experience: managing projects, and client-facing delivery, mentoring and client engagement
• Experience in building data pipelines and deploying ML models at scale in cloud environments (Azure, AWS, or GCP)
• Excellent communication skills, both written and verbal, with ability to simplify technical concepts for non-technical audiences
• Proven track record of delivering business impact through analytics and ML
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field

Desirable Skills

• Strong background in statistical modelling and experimental design
• Knowledge of MLOps best practices and model lifecycle management
• Experience in data visualisation (Tableau, Power BI, or similar)
• Experience with AI/ML services such as Sagemaker and Bedrock (or equivalents) an advantage