P&G is hiring for a Data Science intern in India

Position:

• Data Science Internship

Company:

• Procter & Gamble (P&G)

Location:

• Mumbai, Maharashtra, India

Job Type:

• Full-Time Internship

Job Mode:

• On-site

Job Requisition ID:

• R000113681

Years of Experience:

• Internship (Suitable for candidates currently pursuing or having recently completed a BS, MS, or PhD in a relevant field)

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Company Description:

• Global FMCG Leader: Procter & Gamble is a global powerhouse in the Fast Moving Consumer Goods (FMCG) industry, recognized for its extensive portfolio of trusted and beloved brands such as Pampers, Ariel, Always, Gillette, and Oral-B.
• Commitment to Innovation: With a strong emphasis on innovation, P&G constantly strives to enhance the everyday lives of consumers around the world by delivering products of the highest quality, supported by cutting-edge research and technological advancements.
• Diverse and Inclusive Workplace: P&G is deeply committed to fostering a workplace culture where diversity and inclusion are at the forefront, ensuring that every employee feels valued, included, and empowered to perform at their best.
• Global Presence: Operating in over 70 countries, P&G’s influence extends across the globe, making it a significant player in the consumer goods industry. The company’s global reach offers employees unparalleled opportunities for professional growth and cross-cultural experiences.
• Sustainability Focus: P&G is dedicated to environmental sustainability, integrating sustainable practices into its business operations and product development processes to minimize its environmental footprint and contribute to a better future.

Profile Overview:

• Tech-Savvy Problem Solver: This internship is ideal for individuals who are passionate about leveraging data, science, and technology to address critical business challenges. The role requires a solid foundation in computer science, statistics, or mathematics, coupled with an understanding of technology's strategic application in business.
• Real-World Impact: Interns will have the opportunity to make a significant impact by working on real-life projects from day one. They will be expected to generate actionable insights by analyzing complex datasets, including point-of-sales data, geospatial information, product and supply data, and digital marketing metrics, across multiple countries.
• Cross-Functional Collaboration: The role involves working closely with various teams, including retail, media analytics, eCommerce, and consumer insights, to address problems specific to different brands. Interns will gain hands-on experience in building, validating, testing, and deploying machine learning models within P&G’s IT platforms.
• Flexible Work Environment: P&G values work-life balance and offers interns the flexibility to arrange their work schedules according to their personal needs. The company provides a supportive environment that prioritizes both professional development and long-term well-being.

Qualifications:

• Educational Background: Strong academic performance in a BS, MS, or PhD program in fields such as Computer Science, Mathematics, Economics, Statistics, Applied Science, or related quantitative disciplines is essential.
• Technical Proficiency: Candidates should have proven experience with machine learning, statistical modeling, or econometrics, either through coursework or previous internships. Familiarity with Python, SQL, and other scripting or programming languages is required. Experience with big data environments and tools like Spark is highly desirable.
• Analytical Mindset: The role demands strong problem-solving skills and the ability to apply analytical thinking to business processes. Interns should be capable of handling multiple priorities and possess a can-do attitude.
• Communication Skills: Excellent written and verbal communication skills are crucial for influencing stakeholders and driving action. Interns should be comfortable presenting complex data insights to both technical and non-technical audiences.
• Leadership and Collaboration: Demonstrated leadership in extracurricular activities and the ability to collaborate effectively across different functions, backgrounds, and experiences are key attributes for success in this role.
• Practical Experience: A personal Git repository, participation in data analytics competitions like Kaggle, and prior hands-on experience with relevant technologies are considered advantageous.

Additional Info:

• Internship Projects: Interns will be involved in various projects that either focus on general retail and media analytics across multiple brands or are embedded within specific teams addressing eCommerce and consumer-related challenges. These projects will provide valuable insights into the practical application of data science in a global FMCG context.
• Learning and Development: P&G offers comprehensive formal training and day-to-day mentoring from experienced IT and Data Science professionals. Interns will have access to industry-leading analytical tools and technologies, enabling them to develop their skills and knowledge in a supportive environment.
• Diversity and Inclusion: P&G is an equal opportunity employer that values diversity and inclusion. The company’s mission is to ensure that every employee is valued, included, and able to perform at their peak. P&G is committed to creating a workplace where everyone feels welcome and empowered to contribute to the company’s success.
• Long-Term Opportunities: Successful completion of the internship may open doors to long-term career opportunities within P&G. Interns who demonstrate exceptional performance and alignment with the company’s values may be considered for future roles in the Data Science team or other areas of the business.
• Work-Life Balance: P&G recognizes the importance of maintaining a healthy work-life balance and provides interns with the flexibility to manage their schedules in a way that supports both their professional and personal well-being. The company’s supportive culture encourages employees to prioritize their health and happiness alongside their career goals.

Please click here to apply.

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