Acceleration Centers, Products & Technologies- Blockchain Developer, Senior Associate
PwC
Guadalajara
hace 1 día

Line of Service

Internal Firm Services

Specialism

IFS - Internal Firm Services - Other

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 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 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 and coach to help deliver results.
  • Develop new ideas and propose innovative solutions to problems.
  • Use a broad range of tools and techniques to extract insights from from current trends in business area.
  • Review your work and that of others for quality, accuracy and relevance.
  • Share relevant thought leadership.
  • Use straightforward communication, in a structured way, when influencing others.
  • Able to read situations and modify behavior to build quality, diverse relationships.
  • Uphold the firm's code of ethics and business conduct.
  • Minimum Degree Required :

    Bachelor Degree

    Additional Educational Requirements :

    Bachelor's degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and / or progressively responsible work experience in technology for each missing year of college.

    Minimum Years of Experience :

    2 year(s)

    Oral and written English proficiency required

    Preferred Qualifications :

    Degree Preferred : Master Degree

    Master Degree

    Preferred Fields of Study :

    Computer and Information Science, Mathematics, Computer Engineering, Artificial Intelligence and Robotics, Mathematical Statistics, Statistics, Economics, Operations Management / Research

    Additional Educational Preferences :

    PhD also highly preferred

    Preferred Knowledge / Skills :

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

  • Explore new analytical technologies and evaluate their technical and commercial viability;
  • Work across entire pipeline : data ingestion, feature engineering, ML model development, visualization of results, and packaging solutions into applications / production ready tools;
  • Work across various data mediums : text, audio, imagery, sensory, and structured data;
  • Work in (6) 2-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients;
  • Test and reject hypotheses around data processing and ML model building;
  • Experiment, fail quickly, and recognize when you need assistance vs. concluding a technology is not suitable for the task;
  • Build ML pipelines that ingest, clean data, and make predictions;
  • Focus on AI and ML techniques that are broadly applicable across all industries;
  • Stay abreast of new AI research from leading labs by reading papers and experimenting with code; and,

    Develop innovative solutions and perspectives on AI that can be published in academic journals / arXiv and shared with clients.

    Demonstrates thorough abilities and / or a proven record of success addressing client needs :

  • Explore new analytical technologies and evaluate their technical and commercial viability;
  • Work across entire pipeline : data ingestion, feature engineering, ML model development, visualization of results, and packaging solutions into applications / production ready tools;
  • Work across various data mediums : text, audio, imagery, sensory, and structured data;
  • Work in (6) 2-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients;
  • Test and reject hypotheses around data processing and ML model building;
  • Experiment, fail quickly, and recognize when you need assistance vs. concluding a technology is not suitable for the task;
  • Build ML pipelines that ingest, clean data, and make predictions;
  • Focus on AI and ML techniques that are broadly applicable across all industries;
  • Stay abreast of new AI research from leading labs by reading papers and experimenting with code; and,

    Develop innovative solutions and perspectives on AI that can be published in academic journals / arXiv and shared with clients.

  • Continuously learning new technologies and quickly evaluating their technical and commercial viability;
  • Apply ML techniques to address a variety of problems ( consumer segmentation, revenue forecasting, image classification, etc.);
  • Understanding ML algorithms ( k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique;
  • Understanding open-source deep learning frameworks (PyTorch, Keras, Tensorflow);
  • Understanding text pre-processing and normalization techniques, such as tokenization, POS tagging and knowledge of Named Entity Extraction, Document Classification, Topic Modeling, Text summarization and concepts behind application;
  • Building ML models and systems, interpreting their output, and communicating the results; and,

    Moving models from development to production and conducting lab research and publishing work. Demonstrates thorough abilities and / or a proven record of success in the Essential 8 : AI, Blockchain, Augmented Reality, Drones, IoT, Robotics, Virtual Reality and 3D printing and a subset of these technologies :

  • Explore new analytical technologies and evaluate their technical and commercial viability;
  • Work across entire pipeline : data ingestion, feature engineering, ML model development, visualization of results, and packaging solutions into applications / production ready tools;
  • Work across various data mediums : text, audio, imagery, sensory, and structured data;
  • Work in (6) 2-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients;
  • Test and reject hypotheses around data processing and ML model building;
  • Experiment, fail quickly, and recognize when you need assistance vs. concluding a technology is not suitable for the task;
  • Build ML pipelines that ingest, clean data, and make predictions;
  • Focus on AI and ML techniques that are broadly applicable across all industries;
  • 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)

    Optional Skills

    Desired Languages (If blank, desired languages not specified)

    Travel Requirements

    Available for Work Visa Sponsorship?

    Government Clearance Required?

    Job Posting End Date

    Reportar esta oferta
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Inscribirse
    Mi Correo Electrónico
    Al hacer clic en la opción "Continuar", doy mi consentimiento para que neuvoo procese mis datos de conformidad con lo establecido en su Política de privacidad . Puedo darme de baja o retirar mi autorización en cualquier momento.
    Continuar
    Formulario de postulación