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Senior Data Scientist

Mastercard

Senior Data Scientist

Mastercard

Dublin, Ireland

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave program

Annual team offsites

Wellness benefits

Learning and development stipend

Top Tier compensation with equity

Required Skills

Airflow

TensorFlow

PyTorch

About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

View Company Profile

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:

Overview:

We are seeking a highly skilled and visionary Senior Data Scientist to support the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves supporting complex AI initiatives and architecting scalable machine learning systems. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities.

Role:

Responsible for developing AI-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative and scalable manner, facilitating informed recommendations and decisions. Activities include designing and deploying machine learning models, building intelligent systems, conducting performance analyses, ad hoc reporting, and AI-powered data visualizations.

In this position, you will:

Support complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions

Translate client/stakeholder needs into AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders

Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications

Deliver high-quality AI solutions and tools within agreed-upon timelines and budget parameters and conducting post-implementation reviews

Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques

All about you:

3 to 5 years proven experience leading AI/ML projects from concept to production
Strong proficiency in Python, Tensor Flow, Py Torch, and cloud platforms (e.g., AWS, Azure, GCP)
Deep understanding of machine learning, deep learning, NLP, and MLOps
Experience with complex neural network architectures and transformer-based models (e.g., BERT, GPT, Vi Ts) is strongly preferred
Experience with data architecture, model deployment, and performance tuning
Excellent communication and stakeholder management skills
Demonstrated ability to mentor and grow technical teams

#AI

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.

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Client-provided location(s): Dublin, Ireland

Job ID: Mastercard-22331_R-257869

Employment Type: OTHER

Posted: 2025-08-14T19:19:43
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Pet Insurance
  • Mental Health Benefits
  • Virtual Fitness Classes
  • Health Reimbursement Account

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources
  • On-site/Nearby Childcare
  • Adoption Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Some Meals Provided

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Volunteer Time Off

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling
  • Stock Purchase Program
  • 401(K)
  • Company Equity

Professional Development

  • Tuition Reimbursement
  • Promote From Within
  • Mentor Program
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Work Visa Sponsorship
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

Apply on company site

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

L5

L6

L7

L9

Director

L5 ·

0 reports

$231,000

total / year

Base

-

Stock

-

Bonus

-

$196,350

$265,650

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience