About the role

Aplyr's Quick Take

This internship focuses on developing and maintaining AI models and data analysis techniques within PwC's AI Factory. You'll assist in transforming data into insights while handling some administrative tasks related to risk management. It's primarily an individual contributor role aimed at students or recent graduates in quantitative fields.

Good fit

Ideal candidates are those pursuing or holding a degree in Data Science, Computer Science, or similar fields, with strong Python skills. A collaborative mindset and a willingness to learn will help you thrive in this environment.

Worth noting

The role offers exposure to advanced AI and machine learning projects, which can be a significant boost for your resume. However, the spec is vague on day-to-day responsibilities and may involve some administrative work that could be less appealing.

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Intern/Trainee

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.

The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.

Responsibilities:

You will be assisting the team in the following areas:

Develop, utilize and maintain Generative AI models and other data analysis techniques to collect, explore and extract insights from data.
Handle administrative tasks in risk management by effectively communicating and collaborating with various stakeholders.

Requirements:

Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.)
Proficient in Python.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning (ML), Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

Skills & Tags

ai data

Aplyr's read

PwC is a global leader in professional services, attracting diverse talent for its expansive audit, tax, and consulting offerings.
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