Graduate Data Scientist - Digital Services

Data and AI Consulting

Requisition #: DUB0000XT

See it differently

You see the world through a unique lens and that’s exactly what we need. We embrace how you see things differently – it’s essential for creating a sustainable future.

Arup is a global consultancy with advisory and technical expertise across more than 150 disciplines. We guide, plan and design the future of the built environment. Globally, each year we recruit hundreds of graduates and students who help us see things differently and solve the most complex challenges facing our clients, climate, and communities.

The Opportunity

We're looking for a Graduate Data Scientist to join our Data Insights team. You will have the chance to work across a unique & wide-ranging portfolio of data projects. The role is focused on delivering data-driven solutions to both internal and external clients.

As a Graduate Data Scientist, you will:

• Support the development and delivery of data science, analytics, and AI solutions that help clients solve complex challenges across the transport, energy, water, and built environment sectors.
• Apply statistical, analytical, and programming techniques to collect, prepare, analyse, and visualise data, identifying insights that support better decision-making.
• Work with multidisciplinary teams to understand stakeholder needs, translate business challenges into data-driven solutions, and contribute to the development of practical tools, dashboards, and applications.
• Explore and apply emerging AI, machine learning, and data technologies, helping Arup and its clients adopt innovative approaches that improve efficiency, enhance insights, and deliver better outcomes.
• Contribute to a collaborative learning environment by sharing knowledge, adopting best practices, and continuously developing technical and professional skills through training, mentoring, and project experience.

Is this role right for you?

For this opportunity, we are seeking the following qualifications, skills, and attributes:

• An undergraduate or bachelor's degree (or equivalent) in the following disciplines: Data Science; Data Engineering; Mathematics; Statistics; Computer Science; Engineering

• Experience and knowledge in some of the following areas: Machine Learning; Statistics; Data Science and Analytics; Data Visualization; Python Programming; Database Systems and SQL; Data Engineering; Cloud Computing; Artificial Intelligence; Software Engineering; Data Modelling; Data Cleaning and Transformation; Power BI; Git; Tableau; Microsoft Azure; Databricks; AWS; Geospatial Data Analysis

• Full working rights in the country of application
• No more than 12 months of full-time experience in a comparable role
• Recently graduated, or on track to graduate, from your most recent degree, related to your role of choice, before employment starts.

Alongside your degree, we look for the following core attributes:

• Changemakers: A passion for sustainable development and creating a better world is key.
• Innovative minds: We’re looking for critical thinkers who embrace new ideas and challenge the status quo.
• Growth seekers: You have a growth mindset, always eager to learn and explore new ways of working.
• Adaptable adventurers: You’re ready to take on any challenge that comes your way.

Closing Date: 12 November 2026

Please note, in the event of high applicant volume, this role may be closed ahead of the advertised closing date. We encourage you to apply early.

Eligibility

Please note that we are unable to offer visa sponsorship for this role. Therefore, you must ensure that you are eligible to work permanently in Ireland without our sponsorship.

What we offer you

At Arup, we care about each member’s success, so we can grow together.

Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities, and many possibilities to have an impact through the work they do.

We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling permanent members to share in the results of our collective efforts.

We take an approach to flexible working that supports the diversity and well-being of our graduates.

Different people, shared values

Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas - this drives our excellence.

Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity, and cross-cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference.

We are committed to providing an inclusive recruitment process. Candidates may inform us of any disability, learning difference, or other circumstance that may require reasonable adjustments for interviews or assessments. Any information provided will be used only to make appropriate arrangements and will not be considered in any other aspect of your application or selection process.