Risk Services - AI Factory (Data Scientist) Assistant Associate / Associate

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Associate

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: 

• 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. 

• Manage end to end projects - clarify requirements and devise research approaches. 

Requirements:  

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

• Experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks. 

• 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