Descripción del trabajo - Data Science

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.


Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:


  • Apply a learning mindset and take ownership for your own development.

  • Appreciate diverse perspectives, needs, and feelings of others.

  • Adopt habits to sustain high performance and develop your potential.

  • Actively listen, ask questions to check understanding, and clearly express ideas.

  • Seek, reflect, act on, and give feedback.

  • Gather information from a range of sources to analyse facts and discern patterns.

  • Commit to understanding how the business works and building commercial awareness.

  • Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.


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