Products & Tech - Data Science Senior Associate

Line of Service

Advisory

Industry/Sector

Specialism

Advisory - 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).

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 a Senior 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:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
3 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or a proven record of success as a team leader:

• Programming experience with Python;
• Understanding of Data Science concepts and principles;
• Understanding of common machine learning libraries, including scikit-learn, pandas, numpy, scipy, NLTK, and PyTorch;
• Working with a wide range of supervised and unsupervised machine learning algorithms, including regression, classification, clustering, anomaly detection, time series analysis, forecasting, dimensionality reduction, etc.;
• Working with Predictive modeling;
• Understanding of Natural Language Processing concepts and large language models, including SPACY, embeddings, transfer learning, transformers, and learning models for NLP;
• Understanding of mathematical, statistical, and probabilistic frameworks underlying machine learning algorithms;
• Building and fine-tuning machine learning solutions and leveraging specific machine learning architectures (e.g. neural networks, RNNs, CNNs, BERT, etc.);
• Possessing the ability to quickly learn, understand and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space; and,
• Building graph databases like Neo4j or equivalent. Understanding of graph theory (directed/undirected graphs and various analytical models on graph, such as community detection, entropy measures, etc.) for creating insights into graph modeled data.

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

Up to 20%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Products and Technology