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Salary
≈ $92k – $208k per year (Estimated)
Location
In office (Ireland)
Seniority
Staff · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026. Mastercard scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mastercard is a global payments technology company headquartered in Purchase, New York, operating the card network that connects consumers, merchants, banks and governments and providing data, cybersecurity, loyalty and open banking services. Founded in 1966 as the Interbank Card Association and listed on the New York Stock Exchange since 2006, it processes transactions in more than 200 countries and territories; this record is its UK domain, with major teams in London, Dublin, New York and Toronto. It hires software engineers, data scientists, AI engineering leaders, product managers, information security executives, regulatory counsel and program management interns.

Join our team as a Lead Data Scientist, where you will be responsible for the analysis, design, and development of AI solutions using machine learning, deep learning, and natural language processing techniques. You will research new AI frameworks and technologies, contribute to the requirements for new applications, and coach and develop junior employees. Additionally, you will work with cross-functional teams on new product innovation and R&D initiatives, publish research papers, and identify opportunities to leverage AI as a key enabler.

Missions

  • Lead the analysis, design, and development of AI solutions using machine learning, deep learning, and natural language processing tools.
  • Research and apply new AI frameworks and technologies to the development of proofs of concept, prototypes, and products.
  • Collaborate with cross-functional teams on new product innovation and research and development initiatives.

Profil recherché

- * Expertise in creating AI solution architectures and pipelines

- * Well versed with various Machine Learning, Deep Learning and NLP concepts and models for both supervised and unsupervised learning

- * Experience with a UI framework such as Angular or React is a plus

- * Working knowledge of MLOps tools like MLflow is good to have

- Proficiency with Python and related ecosystem of Data Science tools and packages including pandas, numpy, sklearn, keras, torch, transformers, spacy and genism

- * Experience creating basic python based user interfaces using frameworks like streamlit

- * Experience with dashboarding tools like PowerBI is a plus

- * Working knowledge of Databricks is good to have

- * Expertise in creating and executing optimized SQL queries and creating stored procedures

- * Experience in code configuration management with frameworks like github and bitbucket

- * Expertise in Prompt engineering and working with both external API based LLMs like GPT family and self-hosted models like Llama, dbrx, gemma and Mistral

- * Working knowledge of cloud platforms like Azure and using Cloud Native services

- * Working knowledge of Python based API based frameworks like FastAPI and comfortable working with JSON objects

- * Experience working with Unix commands for accessing various systems and databases and deploying and managing services / APIs

- * Experience in composition of solutions where AI is a component part

- * Good working knowledge of pyspark

- * Ability to lead projects managing timelines, documentation and solution delivery as an individual contributor or leading small teams

- Possess at least 7 years of relevant work experience in the field of Data Science

- * Show initiative and demonstrate a willingness to take on challenging opportunities

- * Interested in mentoring and helping grow the skills of the next generation of Data Scientists

- * Passionate about code quality and coding best practices

- * Must be driven, highly motivated and a strong team-player

- * Ability to work independently without constant supervision; Proficient in solving problems and taking decisions independently

- * Advanced knowledge and understanding of modern software engineering concepts and methodologies

- * Excellent communication (verbal and written) and strong collaboration skills

- * Loves creating innovative solutions to problems in a collaborative fun environment

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