Careers

Innovation - Data Science Manager

  • PwC
  • Tampa International Airport (TPA), 4100 George J Bean Pkwy, Tampa, FL 33607, USA
  • Nov 09, 2020
[Information Technology]

Job Description

Line of Service: TaxSpecialty/Competency: Industry Tax PracticeIndustry/Sector: Not ApplicableTime Type: Full timeGovernment Clearance Required: NoAvailable for Work Sponsorship: YesTravel Requirements: Up to 40%The Innovation Team is at the core of innovation and emerging technology development, discovery, deployment and support activity. Our team is leading the effort to digitally enable our business. Our mission is to develop disruptive & innovative technologies and products that drive the evolution of how we deliver our services now and in the future. The key technology domains we are currently focused on include business process automation, data curation, industrialized analytics, machine learning & AI and scalable delivery platform. A career in Data Science, within our Innovation team, will provide you with the opportunity to help our business or clients to leverage their data assets to drive value across the enterprise. You'll focus on assisting them as they incorporate increased automation, machine learning, data & analytics, commercial and open source technologies into their processes to deliver better quality output and contribute more strategically to organizational decision making. The Data Science team is transforming the way PwC does business. The team helps develop cutting edge data analytic and automation applications using the latest technologies on both big and small but complex data sources. The models will be seen by senior partners within the firm and will help shape how the firm goes to market. The Data Science team works on the cutting edge of technology in an applied context to develop these systems.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 Manager, 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:Develop new skills outside of comfort zone.Act to resolve issues which prevent the team working effectively.Coach others, recognise their strengths, and encourage them to take ownership of their personal development.Analyse complex ideas or proposals and build a range of meaningful recommendations.Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.Address sub-standard work or work that does not meet firm's/client's expectations.Use data and insights to inform conclusions and support decision-making.Develop a point of view on key global trends, and how they impact clients.Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.Simplify complex messages, highlighting and summarising key points.Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences : Basic Qualifications : Minimum Degree Required : Bachelor Degree Minimum Years of Experience : 5 year(s) of experience in data analytics, development and programming. Preferred Qualifications : Preferred Knowledge/Skills : Demonstrates extensive knowledge and/or a proven record of success in applied subject matter such as IT, finance, accounting, energy or health care role emphasizing data analytics for a global network of professional services firms, including the following areas: Experience and understanding of Python (99.9%), some R on AI platform; Dataiku & Datarobot, H20.ai; Jupyter NotebooksUtilized real world experience building models to solve real world problems,Experience and understanding of people management,Experience and understanding of the fundamentals of Data Science; this team is conducting Data Science academies to help teach PwC tax professionals on how to build models and apply to business problems,Experience talking and presenting to the business unit at PwC academes helping explain where machine learning may help their business and/clientsThe ability to work with the PwC tax professional team to see the project through ie build the model themselves or have someone else on the team to build the modelUnderstanding of NoSQL (Graph, Document, Columar) database models, XML, relational and other database models and associated SQL; Understanding of ETL tools and techniques, such as tools like Talent, Mapforce, how to map transformation and flow of data from a source to a target system; Performing in development language environments e.g. Python, Java or equivalent and applying analytical methods to large and complex datasets leveraging one of those languages; Automating complex processes; and, Proven ability in data analytics management.Demonstrates extensive abilities and/or a proven record of success in the application of statistical or numerical methods, data mining or data-driven problem solving, including the following areas: Utilizing and applying into projects knowledge of Python based data science tools such as Pandas and Numpy; Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large-scale system; Utilizing and applying into projects knowledge of data wrangling techniques and scripting languages with proven ability in working on a cloud-based infrastructure environment; 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; Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests; Utilizing and applying into projects knowledge of technologies such as H20.ai, Google Machine Learning and Deep learning; Proven ability with NLP and text-based extraction techniques; Working independently with minimal guidance; Leveraging problem solving and troubleshooting skills with proven ability exercising mature judgment;Prioritizing effectively workload to meet deadlines and work objectives; Writing clearly and succinctly in a manner that appeals to a wide audience; Communicating complex engineering concepts succinctly to senior non-technical and technical decision makers; Performing development, data analytics and programming/scripting, especially Python, Java, Scala, C++, R, SQL, etc.; 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; Visualizing and communicating analytical results, ideally using open source visualization technologies such as HTML, JavaScript, and related packages such as D3; Using large data sets, along with analytical scripting tools and visualization platforms to produce actionable insights for clients; data cleansing, transformation, and modeling in order to produce a clear story that is easily comprehended by non-technical audiences; Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets; and, Performing unit and system testing to validate the output of the analytic procedures against expected results. 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.
Associated topics: chip, computer engineering, electronic, informatic, java, javascript, linux, processor, python, software engineer