Data Scientist
PwC is hiring a Data Scientist. Level rates it ; you can apply on PwC.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions visa sponsorship.
- The posting mentions LangChain, Hugging Face and PyTorch among its tools and skills.
- Level classes it as a senior role.
- PwC has 3,700+ other open roles on Level.
AI in this role
PwC GenAI Data Scientist bridging complex business challenges and cutting-edge AI solutions through advanced modeling and consulting.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Platform Engineering & ArchitectureManagement Level
AssociateJob 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 DegreeCertifications (if blank, certifications not specified)
Required Skills
Amazon Web Services (AWS), Cloud Platform, Generative AI, Google Cloud Platform (GCP), Machine Learning (ML), Programming LanguagesOptional 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 SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
YesJob Posting End Date
How we rate this
Data Scientist at PwC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data consulting was part of your work. What did you do?
- Tell me about a project where ai solutions was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Statistical Modeling, Machine learning, Data Consulting, and AI Solutions. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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