Find Sciences data scientist Jobs in Dublin, D

Senior Data Scientist, AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Expert Data Science & AI (Low Molecular Weight Drug Discovery)
Novartis —Dublin, County Dublin
- €63,490–€117,910 a year
- Full-time
- Hybrid work
- Management
- System design
- Software development
9d
AI/ML Computational Scientist Manager
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
14d
Quality Control Specialist
Biosynth Carbosynth —Dublin, County Dublin
- €35,000–€36,000 a year
- Full-time
- Microsoft Excel
- Microsoft Outlook
- No experience needed
Quick apply
1d
Process Chemistry Lead (Small Molecule)
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Master's degree
- Bachelor's degree
12d
Lead Data Scientist, AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
Executive Director, Global Patient Safety Sciences Delivery
Regeneron —Dublin, County Dublin
- €172,500–€288,300 a year
- Doctoral degree
- Master's degree
- Business
- Annual leave
Associate Practitioner Histology (Fixed term)
Eurofins Ireland Clinical Diagnostics —DUBLIN 18, County Dublin
- Full-time
- No degree
- In-person
- Employee assistance program
- Sick pay
Quick apply
eDiscovery Case Manager, Dublin
ByteDance —Dublin, County Dublin
- Computer Science
- Analysis skills
- Bachelor's degree
Internship - IT
Abbott Laboratories —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- Communication skills
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
Data Science Manager
Verizon —Dublin, County Dublin
- Computer Science
- Master's degree
- SQL
- Annual leave
- Employee assistance program
5d
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Associate Director, Data Product & AI Portfolio Lead - 24 Month FTC
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Research
- Master's degree
8d
Senior Finance Data Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- System design
- SQL
- AI
- Annual leave
- Work from home
Senior Medical / Biomedical Scientist– Haematology
Eurofins Ireland Clinical Diagnostics —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- Communication skills
- Employee assistance program
- Sick pay
Quick apply
21h
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
Product Manager - Quality and Regulatory Systems
Life Scientific —Dublin, County Dublin
- Hybrid work
- Product management
Associate Director, Digital Diagnostics & AI
AstraZeneca —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
2d
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply

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Senior Data Scientist, AI Engineering

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Azure
Doctoral degree
Computer Science
Spark
Google Cloud Platform
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Forecasting
Regression analysis
Predictive analytics
AI
Business
Communication skills
Banking
Python
Analytics

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Scientist, AI Engineering

Senior Data Scientist, AI Engineering

Overview

Mastercard's AI Centre of Excellence is building the next generation of AI capabilities powered by large-scale transaction data, machine learning, and foundation models. We are transforming how AI solutions are developed by enabling teams to leverage reusable learned intelligence rather than building bespoke feature-engineering pipelines for every use case.

We are seeking a Senior Data Scientist, AI Engineering to develop advanced machine learning solutions across domains. This role combines deep expertise in predictive modelling, experimentation, and applied machine learning to deliver measurable business impact. The successful candidate will partner closely with engineering, product, and business teams to bring innovative AI solutions from concept to production.

What You'll Work On

This role focuses on applying machine learning, predictive modelling, and foundation-model representations to solve business problems at scale. Typical use cases include forecasting, propensity modelling, recommendation systems, behavioural analytics, and customer intelligence.

While familiarity with Generative AI is beneficial, this is primarily an applied machine learning and data science role rather than a conversational AI, RAG, or agentic systems engineering position.

Role / Key Responsibilities

Design, develop, and deploy machine learning solutions that solve high-impact business problems.

Define modelling approaches, experimentation methodologies, and success metrics for AI initiatives.

Apply foundation-model embeddings and modern machine learning techniques to improve model performance and accelerate development.

Drive projects from problem definition through model development, deployment, and impact measurement.

Develop robust evaluation frameworks and benchmark new approaches against existing solutions.

Partner with business, product, engineering, and analytics teams to identify and prioritise opportunities.

Communicate technical findings and recommendations to both technical and non-technical stakeholders.

Contribute to the development of best practices, reusable assets, and modelling standards across the AI organisation.

Support and mentor junior data scientists through technical guidance and knowledge sharing.

All About You

Required Experience

Proven experience developing and deploying machine learning solutions in production environments.

Experience solving predictive modelling problems such as attrition, forecasting, recommendation systems, propensity modelling, fraud detection, risk modelling, or customer analytics.

Strong track record of delivering measurable business outcomes through machine learning.

Experience working in cross-functional teams to bring data science solutions from concept to deployment.

Required Technical Skills

Strong expertise in machine learning, predictive analytics, statistical modelling, and experimentation.

Advanced Python and SQL skills.

Experience with machine learning frameworks such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.

Strong understanding of classification, regression, forecasting, recommendation systems, ranking, clustering, and anomaly detection.

Experience with feature engineering, representation learning, embeddings, and downstream machine learning workflows.

Familiarity with transformer-based models and foundation-model applications.

Experience working with Databricks, Spark, Azure, AWS, or GCP.

Leadership & Communication

Strong analytical problem-solving skills.

Ability to influence stakeholders through technical expertise and data-driven recommendations.

Excellent communication and collaboration skills.

Ability to translate complex technical concepts into actionable business insights.

Minimum Qualifications

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

5+ years of experience in machine learning, data science, AI, or advanced analytics.

Experience developing and deploying machine learning models in production environments.

Demonstrated experience applying statistical and machine learning techniques to real-world business problems.

Preferred Qualifications

Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field.

Experience with foundation models, embeddings, or representation learning.

Experience in financial services, payments, banking, fintech, fraud, marketing analytics, or customer intelligence.

Publications, patents, conference presentations, or other evidence of technical thought leadership.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

Refine Your Search

sciences data scientist jobs in dublin, d

Senior Data Scientist, AI Engineering

Senior Expert Data Science & AI (Low Molecular Weight Drug Discovery)

AI/ML Computational Scientist Manager

Quality Control Specialist

Process Chemistry Lead (Small Molecule)

Lead Data Scientist, AI Engineering

Executive Director, Global Patient Safety Sciences Delivery

Associate Practitioner Histology (Fixed term)

eDiscovery Case Manager, Dublin

Internship - IT

EMEA Data & Digital Program Manager

Data Science Manager

Data Engineer

Associate Director, Data Product & AI Portfolio Lead - 24 Month FTC

Senior Finance Data Scientist

Senior Medical / Biomedical Scientist– Haematology

Senior Applied Scientist, AWS Security

Product Manager - Quality and Regulatory Systems

Associate Director, Digital Diagnostics & AI

Sr Applied Scientist

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