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PwC Products & Tech - PwC Labs Data Scientist Associate Summer/Fall 2023 in New York, New York

Time Type: Full-time

Travel Requirements: Up to 20%

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).

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Invite and give in the moment feedback in a constructive manner.

  • Share and collaborate effectively with others.

  • Identify and make suggestions for improvements when problems and/or opportunities arise.

  • Handle, manipulate and analyse data and information responsibly.

  • Follow risk management and compliance procedures.

  • Keep up-to-date with developments in area of specialism.

  • Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.

  • Build and maintain an internal and external network.

  • Seek opportunities to learn about how PwC works as a global network of firms.

  • Uphold the firm's code of ethics and business conduct.

PwC’s mission is to build trust in society and solve complex client problems. PwC Labs is a big catalyst in this strategy. We write the code for tomorrow with a better world in mind. As data scientists, we create solutions to simplify the trust exchange between people and organizations, and we build solutions to solve the more complex problems our clients face. We are skilled in all facets of data science and use our skills to drive positive change. This excites us and it should excite you too.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Additional Educational Requirements :

Preferred Cumulative GPA: 3.0

Preferred Major GPA: 3.0

Associate positions are entry-level roles and job seekers have completed or are in the process of completing their final academic year of educational requirements.

Minimum Years of Experience :

0 year(s)

Preferred Qualifications :

Preferred Fields of Study :

Computer and Information Science, Computer and Information Science & Accounting, Computer Applications, Computer Engineering, Computer Graphics, Digital Communications and Media/Multimedia, Design, Information Technology, Management Information Systems

Preferred Knowledge/Skills :

Demonstrates some abilities and/or a proven record of success with identifying and addressing client needs using the following tools and programs:

  • Machine Learning;

  • Deep Learning;

  • Natural Language Processing (NLP);

  • Programming skills (Python, R, Java, SQL, Jupyter Notebooks, IDEs);

  • Data wrangling/modeling;

  • Structured data storage technologies (SQL Server, PostgreSQL, etc.);

  • Unstructured data storage technologies (MongoDB, Neo4j, etc.);

  • Big data tools (e.g., Hadoop, Spark/PySpark, Kafka);

  • Testing tool experiences (e.g., Selenium, Cucumber, Postman);

  • Visualization tools (e.g., Tableau, Zoomdata, PowerBI);

  • DevOps technologies & tools (e.g., Git, Jenkins, Docker/Kubernetes);

  • Cloud Platforms (e.g., Azure, AWS, GCP); and,

  • Scrum/Agile Methodologies.

At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work .

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoproductstechassociate .

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