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Data Scientist
(Research Data Scientist, Data Research Scientist, Data Expert, Applied Scientist)
IT & Data
Salary
€55,000 - €110,000/yr
Level
Senior
Outlook
Growing
Sector
IT & Data
What does a Data Scientist do?
As a Data Scientist you collect, clean and analyse large datasets to uncover patterns, trends and insights that drive business decisions. You build statistical and machine-learning models, develop recommendation systems, and create clear visualisations to communicate complex findings to both technical colleagues and non-specialist stakeholders. In Ireland, Data Scientists work across a wide range of sectors including technology multinationals, banking and financial services, pharmaceutical and life sciences companies, and the public sector. You collaborate closely with data engineers, software developers, business analysts and senior management, translating raw data into actionable strategies. Day-to-day work involves querying databases using languages such as SQL and Python, running experiments, and continuously refining models to improve their accuracy and reliability.
A Day in the Life
Listen: a day as a Data Scientist
You arrive at the office in Dublin's Silicon Docks at half eight, grab a coffee and open your laptop. Before the day kicks off properly, you spend twenty minutes reviewing overnight alerts from your data pipeline — automated checks that flag missing or corrupted records in the datasets feeding your machine-learning models. One table from a third-party supplier has dropped several thousand rows, so you log a ticket with the data engineering team and make a note to flag it at stand-up. The nine o'clock stand-up is a fifteen-minute video call with your squad: two other data scientists, a data engineer, a software developer and a business analyst. Each person states what they worked on yesterday, what they plan today and whether anything is blocking them. You mention the missing data issue and agree the engineer will investigate by noon.
Required Education
A strong Leaving Certificate with Higher Level Maths is almost universally expected, and subjects such as Applied Maths, Physics, Chemistry or Economics provide a solid analytical foundation. Most Data Scientists in Ireland hold at least an NFQ Level 9 postgraduate qualification; common entry routes include a taught Masters in Data Science, Statistics, Computer Science or a related quantitative discipline from universities such as UCD, TCD, UCC, University of Galway, DCU or UL. Some professionals enter via an NFQ Level 8 Honours Bachelor degree in Computer Science, Mathematics or Statistics and build towards a Masters through Springboard+ funded programmes, which specifically target in-demand data skills. A PhD (NFQ Level 10) is increasingly valued in research-intensive environments such as pharmaceutical companies and academic-industry partnerships like Science Foundation Ireland funded centres. There is no statutory professional registration body for Data Scientists in Ireland, though membership of professional bodies such as the Statistical and Social Inquiry Society of Ireland or the Irish Computer Society is beneficial for networking and credibility.
Required Skills
Career Perspective
Many Data Scientists in Ireland begin their careers in analyst or junior data scientist roles after completing a postgraduate qualification, often within a graduate programme at a large technology or financial services firm. With three to five years of experience, professionals typically move into senior Data Scientist positions, taking ownership of end-to-end modelling projects and mentoring junior colleagues. From there, career progression can lead to roles such as Lead Data Scientist, Principal Data Scientist or Head of Data Science, with some professionals moving into broader leadership positions such as Chief Data Officer. Continuous upskilling — particularly in areas such as large language models, MLOps and cloud platforms (AWS, Azure, GCP) — is essential to remaining competitive in this fast-moving field.
AI Impact on the job
Artificial intelligence is simultaneously one of the biggest drivers of demand for Data Scientists and a source of disruption to some parts of the role. Automated machine-learning (AutoML) platforms and generative AI tools are handling routine model selection and feature engineering tasks that once required significant manual effort, shifting the focus towards higher-order skills such as model interpretability, ethical AI and problem framing. Data Scientists who can work with large language models, fine-tune foundation models and integrate AI safely into production systems are especially sought after in Ireland's tech and pharma sectors. Rather than replacing Data Scientists, AI is raising the baseline of technical expectation and making continuous professional development more important than ever.
Career Ladder
→ Data Scientist (Current role)
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Related Studies
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Employers in Ireland
Organisations in Ireland that employ people in this occupation.
Dublin 4 (Barrow Street)
Build ML models and analyse vast datasets across Google products.
Dublin 2 (Grand Canal Square)
Develop predictive models and insights for global social platforms.
Dublin 4 (Ballsbridge), Nationwide
Apply data science to credit risk, fraud detection and customer analytics.
Dublin 2, Cork
Deliver data science consultancy and ML solutions across multiple sectors.
Dublin, Cork, Kildare, Newbridge
Mine clinical and manufacturing data to accelerate pharmaceutical research.
Skehard Road, Cork
Analyse national statistical datasets and build population-level insights.
Dublin 2 (Grand Canal Street)
Build fraud-detection models and payments analytics at global scale.
Dublin 18 (Leopardstown), Nationwide
Apply statistical modelling to clinical trial data for life-sciences clients.
Dublin 2 (Baggot Street), Nationwide
Develop customer segmentation, risk and propensity models for retail banking.
Dublin 18 (Leopardstown), Letterkenny
Use health data analytics and ML to improve patient and payer outcomes.
Dublin 2
Build recommendation engines and demand-forecasting models for e-commerce.
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