Acceleration Center - DAT Assurance - AI- Experience Associate

PwC México; Región Centro; Presencial; MXN 350.000 - 550.000; Jornada completa

Descripción de la vacante

PwC México's Acceleration Center invites you to join our AI-driven team. You will engage with clients to transform business processes using advanced digital solutions, collaborating with data scientists, ML engineers and product teams to test and deliver impactful AI products.

We value a learning mindset, ownership of development, and the ability to analyze data, build models and leverage PySpark, Pandas and NumPy.

Formación

• At least 1 year of professional AI / ML development or testing experience.
• Knowledge of data analytics and visualization tools.
• Ability to analyze and build data models and transformation routines.

Responsabilidades

• Design, test and deploy robust AI and ML solutions.
• Collaborate with cross-functional teams to ensure alignment and successful delivery.
• Stay current with industry trends, tools, and best practices to continuously improve development processes and solution design.

Conocimientos

AI/ML development

Data analytics

Visualization tools

Educación

Bachelor’s degree in Business Analytics, Analytics, Accounting, Software Engineering, Computer Engineering, or a related field

Herramientas

PySpark

Pandas

NumPy

Descripción del empleo

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Acceleration Center - DAT Assurance - AI- Experience Associate, you will engage with clients to transform their business processes using advanced digital solutions.

As an Associate, you will focus on learning and contributing to client projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will be expected to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role at PwC Acceleration Center Mexico, you will apply a learning mindset, take ownership of your development, and consistently deliver quality work that drives value for our clients. You will gather information from various sources to analyze facts and discern patterns, enhancing your commercial awareness and understanding of the business context.

We’re seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you’ll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You’ll work cross‑functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.

Responsibilities

• Design, test and deploy robust AI and ML solutions.
• Collaborate with cross-functional teams to ensure alignment and successful delivery.
• Stay current with industry trends, tools, and best practices to continuously improve development processes and solution design.

What You Must Have

• At least 1 year of professional AI / ML development or testing experience.

What Sets You Apart

• Bachelor’s degree in Business Analytics, Analytics, Accounting, Software Engineering, Computer Engineering, or a related field.
• Ability to implement AI thinking in teams, drive efficiencies across engineering or data science workflows, and test AI effectively.
• Knowledge of data analytics and visualization tools.
• Ability to analyze and build data models and transformation routines.
• Data preprocessing and handling large structured/unstructured datasets using tools like PySpark, Pandas and NumPy.