Lead Data Scientist

Mastercard is hiring a Lead Data Scientist in Dublin, Ireland. Level rates it ; you can apply on Level.

AI in this role

tensorflowscikit-learnxgboostdatabricks

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

Lead Data Scientist

Role and Summary
Data Scientist
The Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring.

As a Data Scientist, you will:
• Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products
• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling
• Generate and maintain and optimize data pipelines for model building and model performance evaluation
• Develop, test, and evaluate modern machine learning and A.I. models
• Oversee implementation of models
• Evaluate production models based on business metrics to drive continuous improvement
• Leverage AI tooling for development of analytics code and data pipelines and to innovate on process

Essential Skills:
• Data engineering and data science experience
• Strong skills in Databricks, Snowflake, and other data platforms
• Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.
• Experience in working with Cloud (e.g., Azure, AWS)
• Python and one of the following machine learning libraries
o Spark ML
o TensorFlow
o Scikit Learn
o XGBoost
• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
• Bachelor’s or Master’s in CS, Data Science, ML/AI, or a related STEM field

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.

How we rate this

Lead Data Scientist at Mastercard rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Lead Data Scientist is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Dublin, Ireland.
The job was posted on October 14, 2026.
Seniority: lead.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

TensorFlowscikit-learnXGBoostDatabricks

Also common in data scientist jobs at this level

Airflow dbt LLM Generative AI AI agents Google Cloud

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

What's a project where you used TensorFlow hands-on?
Walk me through how you've used scikit-learn in your day-to-day work.
What are the limits of XGBoost that you've run into, and how did you work around them?
What's a project where you used Databricks hands-on?

Adapt your resume

List these exact terms on your resume: TensorFlow, scikit-learn, XGBoost, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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