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 an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 Intern / Trainee, 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:- Learn about how PwC works as a business and adds value to clients.- Think broadly and ask questions about data, facts and other information.- Use tools, techniques and firm standard methodologies to support research, analysis and problem solving.- Produce high quality work which adheres to the relevant professional standards.- Keep up-to-date with technical developments for business area.- Communicate confidently in a clear, concise and articulate manner - verbally and in written form.- Embrace diverse perspectives and welcome opposing and conflicting ideas.- Uphold the firm's code of ethics and business conduct.

Senior Associate Interns will work as a supporting team member within the Advisory practice and team with practitioners and other professionals, from partners and directors to clients, on a daily basis.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Master of Business Administration

Minimum Year(s) of Experience:
3 year(s)

Preferred Qualifications:

Additional Educational Preferences:

Preferred cumulative GPA: 3.3Preferred major GPA: 3.3Client service interns typically join us during the winter/spring or summer prior to their intended graduation year.

Preferred Knowledge/Skills:

Demonstrates some abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, in a combination of some of the following areas:
- Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;
- Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving;
- Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;
- Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection;
- Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks;
- Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and,
- Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview.Demonstrates some abilities and/or a proven record of success in a combination of some of the following areas:
- Assisting with the delivery and tracking of large-scale projects;
- Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion;
- Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space;
- Supporting engagement leads in the interpretation and presentation of model results and model choice rationale;
- Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and,
- Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).

Learn more about how we work: https://pwc.to/how-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.

The annual salary range for this position is $84,000 - $202,000 and will be prorated for the time of employment. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance