Line of Service
Internal Firm Services
Industry/Sector
Not Applicable
Specialism
IFS - Internal Firm Services - Other
Management Level
Senior Associate
Job Description & Summary
A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.
Our team designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders. A Data Scientist collects domain context from stakeholders, defines hypothesis and prediction tasks, identifies and creates supporting data sources, conducts experiments with various algorithms to model prediction tasks, undertakes validation and tests of models to improve performance, produces pipelines that can be used to automate training and predictions with unseen or production data, identifies meaningful insights from data sources, and contextualizes model outputs to communicate with stakeholders (product owners, process managers, and end consumers).
Data Science/ML - Senior Associate
PwC Labs
PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring
emerging technologies that drive efficiency and enable our people to reimagine the possible. Process
improvement, transformation, effective use of innovative technology and data & analytics, and leveraging
alternative delivery solutions are key areas of focus to drive additional value for our firm. If as a
professional you are looking to put your skills to work in a product-based, fast paced, entrepreneurial, and
inclusive environment, PwC Labs is the team for you.
A career in our PwC Labs, will provide you with a unique opportunity to build transformative products and
innovate mechanisms that bring new insights to our business and customers that can help identify
business gaps, solve problems, and build new business opportunities.
Day to day responsibility:
As a Data Scientist, you will be responsible for the below activities:
learning & Generative AI to address business needs.
edge techniques to specific challenges
to speed on the latest A.I. trends, tools, methodologies, and techniques.
Skills and Experience
Demonstrates thorough abilities and/or a proven record of success as a team leader including:
Must Have
MCA).
applying analytical methods to large and complex datasets leveraging one of those languages
designing and implementing solutions based on Langchain framework and designing efficient
prompt for LLM’s.
(LLM’s) on HuggingFace models & other Large Language Models.
processing.
these models so they can run in an automated context
Bayes, SVM, and Decision Forests.
Pandas, SciPy, and NumPy.
approaches taking into consideration performance and scalability to large datasets
varying sources
algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory,
algorithmic knowledge to efficiently research and solve complex development problems and
application of engineering methods to define, predict and evaluate the results obtained.
Good to Have
modelling, algorithms, data mining and machine learning algorithms problem solving
architecture solutions and managing change
production as part of a large-scale system.
Deep learning.
respective utilities for managing and manipulating large data sources, model, development, and
deployment.
D3, Tableau, and PowerBI.
Other Skills
team;
knowledge across the full stack;
development and operations processes to achieve massively higher delivery velocity and
operations quality;
processes;
others within the project and domain teams; and,
skills.
Preferred Certifications (at least two certifications are preferred):
Processing.
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
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
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