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P&G is hiring for a fresher entry level Data Scientist role in India



Position:

  • Job Title: Data Scientist - Product Supply

Company:

  • Organization: Procter & Gamble (P&G)

Location:

  • Primary Work Locations: Goa and Andhra Pradesh, India

Job Type:

  • Employment Type: Full-Time

Job Mode:

  • Mode of Work: On-Site

Job Requisition ID:

  • Reference Code: R000116904

Years of Experience:

  • Experience Level: Entry-Level/Recent Graduates

Company Description

  • Heritage and Mission:

    • Established over 180 years ago as a soap and candle company.
    • Now the largest consumer goods company globally, producing trusted and iconic brands.
    • Focuses on leadership, innovation, and citizenship to maintain its position over three centuries.

  • Ethical Governance:

    • Operates responsibly and ethically.
    • Promotes transparency and sustainability while supporting global causes.

  • Employee Value Proposition:

    • Encourages innovation and creativity among teams.
    • Offers exciting opportunities to lead impactful initiatives.

  • Commitment to Excellence:

    • Provides outstanding training programs.
    • Develops leaders in the field through continuous mentorship and diverse work environments.

Profile Overview

  • Role Scope:

    • Focuses on upstream innovation in manufacturing and processing for leading products.
    • Utilizes intelligent, connected technologies driving Industry 4.0 advancements.

  • Team Collaboration:

    • Reports to the global Dry Laundry Platform leader.
    • Collaborates with teams across engineering, manufacturing, and quality functions worldwide.

  • Objective:

    • Enhance system capabilities, safety, and efficiency while reducing costs and promoting sustainability.

  • Success Metrics:

    • Annual budget savings aligned with the master plan.
    • Global deployment of touchless digital transformation initiatives.

Responsibilities

Technical Leadership

  • Provide technical guidance for Operating Unit (OU) innovation projects.
  • Act as a pivotal enabler to overcome operational challenges.
  • Collaborate with innovation teams on machine control, data processing, and advanced analytics.

Data Analytics and Modeling

  • Develop analytic solutions to address business needs using advanced tools.
  • Create predictive/prescriptive models to optimize processes, reduce effort, and enhance product quality.
  • Establish data pipelines across global sites to maintain consistency and efficiency.

Data Management and Maintenance

  • Define and maintain analytical models, alarming systems, and reporting methodologies.
  • Partner with process and IT teams to develop and manage data models for analytical capabilities.
  • Conduct external research to incorporate new technologies and standards for smart manufacturing.

Problem-Solving and Reliability

  • Diagnose and resolve issues related to prognostic models.
  • Leverage reliability engineering and data science to design innovative solutions reducing operational losses.

Qualifications

  • Educational Background:

    • Bachelor’s degree in Computer Science, Systems/Engineering, Business/Management Information Systems, Programming, Software Development, Operations Research, or Statistics.

  • Technical Expertise:

    • Proficient in Python, R, SAS, Azure ML, Matlab, Power BI, and Tableau.
    • Knowledge of data visualization, statistical analysis, and machine learning methodologies.

  • Skills in Data Architecture:

    • Familiar with relational databases, data warehouses, and big data management.

  • Analytical Proficiency:

    • Skilled in forming hypotheses and extracting insights from structured/unstructured data.
    • Experienced in designing effective visualizations to support decision-making.

  • Collaboration and Communication:

    • Ability to handle multiple priorities concurrently.
    • Strong communication skills to explain data models and analytics solutions to peers and leadership.

  • Additional Technical Skills:

    • Agile project management (SCRUM, Kanban) and DevOps experience.
    • Knowledge of IT security and risk principles.

Additional Information

Employee Benefits

  • Continuous mentorship programs to support career growth.
  • Encouraging and dynamic work environments promoting work-life balance.
  • Leadership development through training and project-based learning.

Innovation Focus

  • Access to cutting-edge technologies and methodologies.
  • Opportunity to work on impactful projects that shape the future of smart manufacturing.

Diversity and Inclusion

  • P&G is an equal opportunity employer.
  • Committed to creating a diverse and inclusive workplace.
  • Does not discriminate based on race, gender, age, or any legally protected factor.

Global Reach

  • Operations in 70 countries with globally recognized brands like Ariel®, Gillette®, Pampers®, and Head & Shoulders®.
  • Provides employees with international exposure and cross-functional collaboration opportunities.

Please click here to apply.

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