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. In developing a product’s core algorithm, the full-stack Data Scientist role will ensure that their features integrate seamlessly into the product’s technical stack (data ingestion, user interface, orchestration) as well as the business process and use case (e.g., to maximise impact and value realisation).
Required skills
- Recent, hands-on commercial experience with Operational Research and optimisation
- Strong experience with optimisation techniques (linear, non-linear, mixed-integer programming, constraint satisfaction, scheduling)
- Proficiency in Python and optimisation/data libraries (e.g. SciPy, OR-Tools, Gurobi, CPLEX, Pandas, NumPy)
- Solid data engineering skills (SQL, data pipelines, data quality)
- Experience productionising models using cloud platforms (AWS preferred), experiment tracking, workflow orchestration, and CI/CD
- Background in operations-heavy industries preferred (aviation, logistics, supply chain, retail)
- Strong commercial mindset focused on solving real business problems
- Excellent communication skills with the ability to engage confidently with non-technical stakeholders
- Comfortable working independently in fast-paced, stakeholder-facing environments
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 the latest and greatest in software development, optimization, and machine learning
- Commitment to delivering business value
What’s in it for you:
- An opportunity to join a fast-growing company
- Options for career advancement
- Learning and development opportunities
- Flexible working environment
- Competitive salaries based on experience
Equal Opportunity Employer:
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!
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