Job Description

Line of Service Internal Firm Services

Industry/Sector Not Applicable

Specialism IFS - Internal Firm Services - Other

Management Level Senior Associate

& 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 collaborates with product strategy and product managers to govern readiness standards in achieving principles (compliance, privacy, security) by design for what PwC\xe2\x80\x99s technology assets require to be successful in the market. They provide guidance for product development across the lifecycle (ideation / strategy through commercialization / monetization). Additionally, they facilitate market readiness for technology assets overall, as changes occur to assets or market conditions throughout the asset\xe2\x80\x99s life cycle.

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:

• Design and develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.

• Daily the team utilizes the latest technologies to work creatively and analytically to apply cutting edge techniques to specific challenges

• You need exceptional skills in data science and continuously expand personal skill sets and stay up 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

\xe2\x97\x8f Ideally 4 to 6 years of relevant experience.

\xe2\x97\x8f Bachelor\xe2\x80\x99s Degree in Computer Science, Engineering or other technical discipline (BE, BTech, MCA).

\xe2\x97\x8f Performing in development language environments- e.g. Python, Java, Scala, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages

\xe2\x97\x8f Candidate should have a solid work exposure to Generative AI based projects that includes designing and implementing solutions based on Langchain framework and designing efficient prompt for LLM\xe2\x80\x99s.

\xe2\x97\x8f Candidate should have good experience in pre-training and fine tuning Large Language Models (LLM\xe2\x80\x99s) on HuggingFace models & other Large Language Models.

\xe2\x97\x8f Candidate should have prior experience on Azure cloud platform.

\xe2\x97\x8f Experience in machine learning, natural language processing and deep learning.

\xe2\x97\x8f Proven ability with NLP and text-based extraction techniques.

\xe2\x97\x8f Familiarity with deep learning architectures used for text analysis, computer vision and signal processing.

\xe2\x97\x8f Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context

\xe2\x97\x8f Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.

\xe2\x97\x8f Utilizing and applying knowledge commonly used data science packages including Spark, Pandas, SciPy, and NumPy.

\xe2\x97\x8f Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets

\xe2\x97\x8f Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

\xe2\x97\x8f Applying techniques such as multivariate regressions, Bayesian probabilities, clustering 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.

\xe2\x97\x8f Developing and deploying A.I. solutions as part of a larger automation pipeline

Good to Have

\xe2\x97\x8f Demonstrates extensive abilities and/or a proven record of success in the application of statistical modelling, algorithms, data mining and machine learning algorithms problem solving

\xe2\x97\x8f A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change

\xe2\x97\x8f Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large-scale system.

\xe2\x97\x8f Utilizing and applying knowledge of technologies such as H20.ai, Google Machine Learning and Deep learning.

\xe2\x97\x8f Developing end to end deep learning solutions for structured and unstructured data problems.

\xe2\x97\x8f Using common cloud computing platforms including Azure, AWS and GCP in addition to their

respective utilities for managing and manipulating large data sources, model, development, and deployment.

\xe2\x97\x8f Visualizing and communicating analytical results, using technologies such as HTML, JavaScript, D3, Tableau, and PowerBI.

Other Skills

\xe2\x97\x8f Documenting systems, refining requirements, self-identify solutions and communicate to the team;

\xe2\x97\x8f Demonstrating a desire to keep learning, maintain own skill set, stay up to date and expand one\xe2\x80\x99s knowledge across the full stack;

\xe2\x97\x8f Demonstrating a desire to improve the \xe2\x80\x98status quo\xe2\x80\x99, especially automating and improving software development and operations processes to achieve massively higher delivery velocity and operations quality;

\xe2\x97\x8f Contributing to thought leadership through participation in the development of technology processes;

\xe2\x97\x8f Applying continuous independent judgement while collaborating with others, and influencing others within the project and domain teams; and,

\xe2\x97\x8f Building and leveraging relationships as well as specialist level verbal and written communication skills.

Preferred Certifications (at least two certifications are preferred):

• Data Science Certifications in Machine Learning, Deep Learning and Natural Language Processing.

• Certified Professional in Python Programming Level 1 or 2

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

PwC