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.
Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning…
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!
Not for you?
Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.
P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.
At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace.
Your personal data
Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:
- Used lawfully, fairly and in a transparent way
- Collected only for valid purposes and not used in any way that is incompatible with those purposes
- Relevant to the purposes we have told you about and limited only to those purposes
- Accurate and kept up to date
- Kept only as long as necessary for the purposes we have told you about
- Kept securely
If you would like to contact us about your data, please use the following address: [email protected]
