About us: Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe. Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions. Founded in 2013, Amach was created to solve a specific problem in aviation: too much complexity, too little usable intelligence.

We help airlines modernise their operating model using cloud, data and Al-delivered by teams with deep aviation domain expertise. Our goal is to maximize airlines' operational efficiency by optimizing resource use, reduce costs and increase customer experience and satisfaction. As a key member of a product squad and reporting to the Lead Product Data Scientist, a Data Scientist will develop data pipelines, machine learning models, and complex optimisation models in the ODS software product suite.

The Data Scientist is in charge of modelling and robust implementation of features contributing to an operations decision-support product. , to maximise impact and value realisation). g.

Key Responsibilities

& duties include: Design, build, and deploy data science and optimisation models across operational domains such as workforce planning and supply chain Own use cases end-to-end: problem definition, modelling, experimentation, and production delivery Work across multiple concurrent data science/optimisation streams within a small, agile team Prototype and industrialise machine learning and optimisation models in Python, following software engineering best practices Build and maintain robust data pipelines, testing, logging, and CI/CD for production-grade solutions Diagnose performance, identify trade-offs, and optimise models for real-world operational constraints Engage directly with business stakeholders to translate operational challenges into analytical solutions Clearly communicate technical findings and recommendations to non-technical audiences Contribute to feature prioritisation and roadmap discussions, balancing speed vs long-term value The Data Scientist is also accountable for ways of working fit for an Agile cross-functional development squad, including: Using Git-versioning best practices for version control Contributing and reviewing pull-requests and product / technical documentation Giving input on prioritization, team process improvements, optimizing technology choices Working independently and giving predictability on delivery timelines Desirable skills Systems thinking Detail oriented while understanding the big picture Curious, self-motivated, proactive, and action-oriented Creative and innovative Resilient and flexible in light of changing priorities and approached Data-driven Pragmatic Collaborative A true believer in the power of using data to drive better decision making A technologist, interested in keeping up with th

Data Scientists