Analytics Insights
Company: PwC
Location: Chicago
Posted on: January 16, 2021
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Job Description:
A career in our Analytics Innovation practice, within Analytics,
will provide you with the opportunity to combine consulting and
industry expertise with data science capabilities. We use
descriptive and predictive analytical techniques to incorporate
client, third-party, and proprietary data to help answer questions
and design solutions to our clients most pressing business issues.
Our team helps leverage data to rapidly discover, quantify, and
deliver value from data with intelligent analytics and scalable
end-to-end business solutions. This includes helping our clients
drive analytics adoption, accelerating value delivery, developing
in house talent, and building solutions and trust in data. 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. Job
Requirements and Preferences :Basic Qualifications :Minimum Degree
Required :Bachelor Degree Required Fields of Study :Statistics,
Economics, Engineering, Operations Management/Research, Computer
and Information Science, Computer Engineering, Computer Systems
Analysis, Computer Management, Management Information Systems,
Mathematics Additional Educational Requirements :Other quantitative
fields of study may be considered Minimum Years of Experience :3
year(s) Preferred Qualifications :Degree Preferred :Master Degree
Preferred Fields of Study :Computer and Information Science,
Economics, Economics and Finance, Economics and Finance &
Technology, Engineering, Operations Management/Research,
Statistics, Mathematics Preferred Knowledge/Skills :Demonstrates
thorough knowledge and/or a proven record of success in the
following areas: * New technology learning and quickly evaluating
their technical and commercial viability;* Machine learning
techniques for addressing a variety of problems (e.g. consumer
segmentation, revenue forecasting, image classification, etc.);
and,* Machine learning algorithms (e.g. k-nearest neighbors, random
forests, ensemble methods, deep neural networks, etc.) and when it
is appropriate to use each technique.Demonstrates thorough
abilities and/or a proven record of success as a team leader
including the following areas: * Building machine learning models
and systems, interpreting their output, and communicating the
results;* Moving models from development to production; and,*
Conducting research in a lab and publishing work.Demonstrates
thorough abilities and/or a proven record of success with a subset
of the following technologies: * Programming: Python, R, Java,
JavaScript, C++, Unix Hardware: sensors, robotics, GPU enabled
machine learning, FPGAs, Raspberry Pis, etc.;* Data Storage
Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP
BigQuery, and different storage formats (e.g. Parquet, etc.);* Data
Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based
solutions such as GCP DataFlow;* Machine Learning Libraries: Python
(scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark
MLlib;* Visualization: Python (Matplotlib, Seaborn, bokeh, etc.),
JavaScript (d3); and,* Productionization and containerization
technologies: GitHub, Flask, Docker, Kubernetes.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.
Keywords: PwC, Chicago , Analytics Insights, Other , Chicago, Illinois
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