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
Consultant, Advisors – AI & GenAI Consulting
Services is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, business experimentation, and data-driven information and risk management services. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Mastercard Advisors works with a diverse global customer base across industries, from banking and payments to retail and restaurants.
Our Performance Analytics consultants are data-driven problem solvers who combine technical expertise with business insight to deliver impactful solutions. They work with large and complex datasets, leveraging big data frameworks and advanced analytics tools to build robust data models. These models enable diverse analyses—from advanced analytics to predictive modeling and machine learning—helping clients unlock actionable insights. Increasingly, we seek professionals with experience in Generative AI technologies to design and implement innovative solutions that go beyond traditional analytics. By blending strong analytical skills with cutting-edge AI capabilities and creative thinking, they transform data into intelligent solutions that drive measurable value
Role and responsibilities
Client Impact
- Support data-driven initiatives across Business Intelligence, machine learning, advanced analytics, and Generative AI by building robust models and leveraging cutting-edge tools to unlock measurable client value.
- Design methodologies tailored to client problem statements, applying critical thinking to account for internal and external constraints.
- Collaborate with Mastercard teams to understand client priorities, risks, and opportunities, ensuring alignment with business goals.
- Build trusted relationships with client stakeholders, acting as a strategic advisor and thought partner.
Team collaboration & culture
- Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients.
- Maintain and share project resources and repositories in alignment with organizational best practices, ensuring proper version control, documentation, and accessibility for the team.
- Collaborate effectively with team members to identify trends, patterns, and anomalies, while independently driving analysis that supports project objectives—including leveraging Generative AI techniques where applicable.
- Engage with the client and drive internal workstreams, contributing to effective project execution and delivery.
- Contribute to Mastercard’s intellectual capital and innovation agenda, with a focus on advancing AI-driven and Generative AI solutions.
- Receive guidance from analytics leaders while actively mentoring junior consultants, fostering mutual growth and contributing to a high-performance culture.
Locations: Lisbon, Portugal; Warsaw, Poland; Amsterdam, Netherlands; Milan, Italy; Madrid, Spain; London, England (Angel Lane)
Basic qualifications
- Proven experience in designing, developing, and deploying Generative AI solutions, including working with large language models (LLMs), prompt engineering, and fine-tuning models for specific business use cases.
- Strong proficiency in Python and relevant AI/ML frameworks (e.g., Langchain, PyTorch, Google ADK).
- Hands-on experience with cloud-based AI services (Azure OpenAI, AWS Sagemaker, Google Vertex AI) and integration into enterprise workflows.
- Solid understanding of machine learning, deep learning, and NLP techniques, with the ability to apply them to real-world problems.
- Familiarity with data engineering and big data tools (Spark, Databricks) to support scalable AI solutions.
- Ability to translate complex technical concepts into actionable insights for business stakeholders.
- Graduate Engineering with data and analytics experience in business intelligence or business translation.
- At least 2 years of relevant work experience in AI/ML roles.
- Proven experience collaborating with internal teams and external stakeholders to achieve shared objectives.
- Advanced Word, Excel, and PowerPoint skills
- Ability to handle multiple priorities across diverse clients in a fast-paced, deadline-driven environment
- Ability to communicate effectively in English and the local office language (if applicable). Additional European languages (e.g. Spanish, French or German) highly valuable.
- Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
Preferred qualifications
- Experience in automating data pipelines for extraction, transformation, and modeling workflows.
- Experience with Hive SQL and Hadoop via Cloudera CDE & CML, using Pyspark for CDE workloads and Jupyter Notebooks in CML for Python or Pyspark ML/AI development is a plus.
- Experience working with data visualization and reporting tools such as Tableau or Power BI to design and deliver insightful dashboards and reports.
- Exposure to analytical modeling, data transformation, and data science workflows, with experience using Databricks and/or Cloudera AI for executing data science projects considered highly desirable.
- Experience managing tasks or workstreams in a collaborative team environment
- Relevant industry expertise
