Open Data Science job portal

Data Scientist – Manager 1 view

Job description

A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.

Responsibilities

As a Manager, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above
  • Be involved in the financial management of clients
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Contribute to the development of your own and team’s technical acumen
  • Develop strategies to solve complex technical challenges
  • Assist in the management and delivering of large projects
  • Train, coach, and supervise staff
  • Keep up to date with local and national business and economic issues
  • Continue to develop internal relationships and your PwC brand

The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our clients’ functions. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm.

AI Labs is focused on identifying and prioritizing emerging technologies and preparing clients to get the most out of their emerging technology investments.

Basic Qualifications

Job Requirements and Preferences:

Minimum Degree Required

Bachelor Degree

Minimum Years Of Experience

5 year(s)

Degree Preferred

Preferred Qualifications:

Master Degree

Preferred Fields Of Study

Analytics, Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering & Accounting, Management Information Systems, Mathematics

Certification(s) Preferred

PMI Certified, Agile Certified Scrum Master

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, including the following areas:

  • Understanding of NoSQL (Graph, Document, Columnar) database models, XML, relational and other database models and associated SQL;
  • Understanding of ETL tools and techniques, such as tools like Talend, 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, Scala, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;
  • Demonstrating extensive abilities and/or a proven record of success in the application of statistical modelling, algorithms, data mining and machine learning algorithms problem solving;
  • Demonstrating proven experience in business development such as client relationship management and leading and contributing to client proposals;
  • Demonstrating a track record of delivery within a number of large scale projects;
  • Demonstrating ownership of architecture solutions and managing change;
  • Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets;
  • Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;
  • Demonstrating proven ability with NLP and text based extraction techniques;
  • 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; and,
  • Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.

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 knowledge commonly used data science packages including Spark, Pandas, SciPy, and Numpy;
  • Demonstrating familiarity with thorough learning architectures used for text analysis, computer vision and signal processing;
  • 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 knowledge of technologies such as H20.ai, Google Machine Learning and Deep learning;
  • 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;
  • Developing end to end deep learning solutions for structured and unstructured data problems;
  • Developing and deploying A.I. solutions as part of a larger automation pipeline;
  • Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;
  • Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment; and,
  • Visualizing and communicating analytical results, using technologies such as HTML, JavaScript, D3, Tableau, and PowerBI.

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.

More Information

  • This job has expired!
Share this job

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.