Data Scientist (Master's Degree) Internship

Procter & Gamble

31d•$29 - $50•Onsite

About The Position

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. In this role, you will be using Big Data and advanced analytics to advise the engagement of our business leaders. You'll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can implement 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. As an intern, you will experience a subset of the above responsibilities

Requirements

You must be available during the summer of 2027 for a 12 week internship from mid/late May through early August.
Currently pursuing a Master's in Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field.

Nice To Haves

Proven 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
Proven ability to balance 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, Hiv
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

Responsibilities

Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.