Level

PwCPosted 1mo ago

Data Scientist

Data Scientist at PwC scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

MakatiseniorFull time

AI in this role

langchainhugging-facepytorchtensorflow

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Associate

Job Description & Summary

About the Role 

As a PwC GenAI Data Science Consultant, you are the linchpin between complex business challenges and cutting-edge AI solutions, leveraging a unique combination of rigorous methodologies, advanced statistics, mathematical prowess, industry expertise, strategic consulting, and software development. Your role is multifaceted, and each day presents new opportunities to innovate and lead. 

You will immerse yourself in the core of our clients' businesses, grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics. Your journey begins with collecting and scrutinizing data, uncovering hidden patterns and generating initial insights that pave the way for hypothesis formulation. 

In this capacity, you will engage in a transformative journey encompassing business acumen, data comprehension, and meticulous data preparation. By applying sophisticated statistical and mathematical modeling techniques, you will develop groundbreaking models that address complex business problems. Your keen focus on precision and scalability ensures these models not only resolve issues but do so with optimal efficiency. 

Beyond model creation and validation, you play a crucial role in operationalizing these models by integrating them into applications and processes. This ensures that the solutions you architect maintain their strategic value throughout their lifecycle. 

Your expertise transcends data; you will gain deep insights into business processes, mastering their intricacies to identify challenges and design impactful solutions that drive substantial transformation. You will establish and enforce standards and policies that safeguard our clients' most critical assets, ensuring data is secure, private, accurate, accessible, and, crucially, actionable. Your proficiency extends to data management, migration, strategic planning, change management, and navigating policy and regulatory landscapes. 

If you are ready to harness the transformative power of data and embark on an extraordinary journey with PwC GenAI, join us. Together, we will redefine possibilities and unlock your full potential. 
 

Required Skills and Experience 

  • 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships 

  • Collaborate with customers and team to identify new AI opportunities, and build proposals and pitch materials to position PwC as a trusted partner for AI & Data transformation 

  • Organize and lead educational and ideation AI and Generative AI workshops for customers 

  • Understand customer's needs and assess their AI maturity 

  • Evaluate and recommend appropriate AI frameworks, tools and platforms 

  • Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions 

  • Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit 

  • Have experience in cloud services of AWS / Azure to deploy AI products 

  • Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements 

  • Lead integration and deployment of AI solutions into customers’ existing infrastructure 

  • Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI 

  • Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions 

  • In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) 

  • Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch 

  • Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more 

  • Experience working with customers in different industries and understanding their specific challenges and requirements 

 

#PwCSEACPH 

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

Degrees/Field of Study required:

Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Amazon Web Services (AWS), Cloud Platform, Generative AI, Google Cloud Platform (GCP), Machine Learning (ML), Programming Languages

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

LangChainHugging FacePyTorchTensorFlow

Questions you could be asked

  1. What's a project where you used LangChain hands-on?
  2. Walk me through how you've used Hugging Face in your day-to-day work.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: LangChain, Hugging Face, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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