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Manager

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Hybrid

Manager

PwC

Manager

Skills

Deep LearningData ScienceMATLABRData AnalysisMachine LearningAINLP / Natural Language Processing

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

23 September 2026

What they need


Responsibilities

  • Leading data science initiatives to transform raw data into actionable insights for informed decision-making
  • Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
  • Developing and implementing data-driven strategies using machine learning, predictive modeling, and artificial intelligence
  • Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
  • Collaborating with stakeholders to identify opportunities for leveraging data science to drive business growth
  • Utilizing programming languages such as R and MATLAB to develop and refine data models and algorithms
  • Promoting the use of innovative technologies and methodologies within data science teams
  • Confirming data quality and integrity through rigorous data validation and troubleshooting processes
  • Mentoring junior staff and fostering a culture of continuous learning and development within the team
  • Engaging in strategic planning and execution to align data science projects with organizational goals

What You Must Have

  • At least a Bachelor's degree
  • At least 8 years of experience
  • Oral and written proficiency in English required

What Sets You Apart

  • Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
  • Demonstrating proficiency in data science algorithms and workflows
  • Utilizing machine learning and deep learning techniques effectively
  • Excelling in data-driven decision making and predictive modeling
  • Managing data pipelines and confirming data quality
  • Leveraging programming languages such as R and MATLAB
  • Applying natural language processing and neural network methodologies

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