Data Scientist Masters Internship

Key Skills

Java Programming, Python Programming, C++, SQL, Cloud computing, Apache Hadoop, Scala Programming, Data Visualization, Deep Learning, Keras software library, Tableau, TensorFlow, Apache Hive, MapReduce, R Programming, SPARK Programming

Job Description

IT at Procter & Gamble is where business, innovation and technology integrate to create a competitive advantage for P&G. Our mission is clear - we deliver IT to help P&G win with consumers. As a P&G IT professional you apply your IT mastery to diverse business problems to deliver game-changing technology-driven business models and capabilities. Whether your role is to create an IT innovation strategy for a business, protect our critical information systems and assets, or build a completely new way of operating, your technical knowledge will be recognized and rewarded. Your passion for the industry will be further cultivated by our culture of continued learning and growth as an IT professional. Your career in IT at P&G will build you through growing your leadership and influence skills, expanding your perspective via experiences across multiple businesses, and cultivating depth of expertise in areas like Application & Integration, Infrastructure, Data & Analytics, and Security & Risk.

What we can offer you is an interesting and diverse set of opportunities to solve problems that come with being one of the largest consumer goods companies in the world. You have many interests, and our scale enables you to have the opportunity to explore these interests and apply your problem-solving skills.

Data Science

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work?

Data Science is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver groundbreaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our innovative shared services organization, your technical skills will be recognized and rewarded. Your real passion for the industry will be further cultivated by our culture of continued learning and growth as a Data Science professional.

For this internship, you would be in Cincinnati, Ohio for the duration of the summer.

A full-time employee in this role would perform these responsibilities over the course of a 1.5 - 2 year assignment. As an intern, you will experience a subset of these responsibilities over a 3-month internship:

In this role, you will be using Big Data and advanced analytics to direct the engagement of our business leaders. You'll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Ultimately you will be turning insights into measurable recommendations which will drive business value creation.

Qualifications

• We are looking for leaders who are pursuing a Master's in Statistics, Applied Mathematics, Economics, Computer Science,
• Data Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field.
• You must be available during the Summer of 2023 between Mid/ Late May through early August

Preferred Qualifications:

• Demonstrated leadership in applying and scaling Analytic techniques to deliver measurable insights from data
• Strong written and verbal communication skills to influence others to take action
• Demonstrable ability to handle multiple priorities
• Comfort working with diverse business scenarios and possessing strong thinking/problem-solving skills to business processes with a can-do attitude
• Strong passion and curiosity about the intersection of business and technology
• Preferred Experience with Analytical Tools/Applications:
• Unix/Linux
• Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hive
• Scientific Computing: R, Python, C++, Java, Scala,
• High-Performance Parallel and Distributing Computing
• Deep Learning frameworks: Keras, Tensorflow
• Data Visualization
• Data Management Systems
• Business Intelligence tools: such as KNIME, Tableau

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.