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

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.

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.

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.

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.

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.

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

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.

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

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.

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.