PwC Careers 2024: Hiring Data Scientist AI / ML – Associate

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Company Description

Job Description & SummaryA career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.

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 an 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:

  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner – verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm’s code of ethics and business conduct.

Associates will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., performing high-end analysis and providing business recommendations to project teams.

Education B.Tech./B.E./Master’s Degree from reputed institute(s) – IIT/NIT/BITS

Required Skills:

  • Successful candidates will have demonstrated the following skills and characteristics:
  • Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, Natural Language processing, etc.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Worked on Google Cloud Platform (GCP) and its Cloud native ML services like Vertex AI, Big query ML, Auto ML, Kubeflow
  • Experience in developing MlOps pipelines for Continuous Training and Evaluation with frameworks like Kubeflow, Airflow, TFX
  • Prior experience of having worked in consulting/product/analytics environment
  • Team player and demonstrated ability to work effectively across various internal organizations and international teams
  • Certified with GCP Professional Machine Learning Engineer.

Roles and Responsibilities:

  • Deal effectively with ambiguous and unstructured problems and situations
  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  • Engage well with both internal and external stakeholders to understand requirements and translate them to analytical solutions
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Required to meet tight deadlines and manage multiple competing priorities; ability to work independently and navigate through ambiguous requirements
  • Manage the continuous improvement of data science and machine learning by following industry best practices.

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End DateFebruary 28, 2024

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