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Consultant, Advisors – AI & GenAI Consulting

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Mastercard

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Location:
Portugal

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Category:
Consulting

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Contract Type:
Not provided

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Salary:

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Job Description:

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

Job Responsibility:

  • 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
  • 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

Requirements:

  • 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)
  • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs

Nice to have:

  • 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
  • Additional European languages (e.g. Spanish, French or German) highly valuable

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
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