2024 Global Technology, Data Science Summer Associate Internship Program (Master’s)

Job Classification:

Prudential: 2024 Global Technology, Data Science Summer Associate Internship Program (Master’s)

Location(s):

Newark, NJ (Hybrid)

Prudential Financial, Inc. (NYSE: PRU), a global financial services leader and premier active global investment manager with approximately $1.4 trillion in assets under management as of December 31, 2022, has operations in the United States, Asia, Europe, and Latin America. Prudential’s diverse and talented employees help make lives better by creating financial opportunity for more people by expanding access to investing, insurance, and retirement security. Prudential's iconic Rock symbol has stood for strength, stability, expertise, and innovation for nearly 150 years. For more information, please visit news.prudential.com.    

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability, and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. 

Timeline:

The internship program will run from Monday, June 3rd, 2024, to Friday, August 9th, 2024.   

The fall application window will open on October 9th, 2023, and close on November 5th.

At Prudential, we are committed to nurturing the next generation of technology leaders. As a Data Science Summer Associate, this is your chance to drive innovation, solve high-impact business problems, promote data-driven decision-making, and prepare Prudential for the next 150 years. Our Data Science team is made up of a diverse group of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians, and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses.

What you’ll experience:

You’ll find yourself working side-by-side with dedicated leaders driving strategies to achieve business results. You will build the framework for, as well as source, lead, and present forward-thinking, high-impact projects focused on supporting critical initiatives for our U.S. businesses, marketing, and corporate functions.

 Your day to day may include:

• Applying statistical methods to the analysis of data to identify significant relationships. 
• Designing, developing, and testing mathematical models, including statistical and machine learning models, that generate predictions, classifications, and insights. 
• Interpreting model outputs and translating them into language applicable to the solution of business and customer outcomes.  
• Applying knowledge of Prudential’s U.S. businesses, corporate groups, and relevant industry knowledge to analysis and insights, with a focus on “what it means” and actions to consider for execution, ultimately making high business impact.

We offer highly competitive compensation and a sign-on bonus if the opportunity requires you to move geographically for the summer.

Required Qualifications:  

• Candidates must be enrolled in an accredited master’s degree program with an anticipated graduation date between December 2024 and May 2025

Preferred Qualifications:  

• Preferred areas of study include Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative fields
• Industry experience with responsibility for developing advanced quantitative, analytical, and statistical solutions
• Hands-on experience applying a wide variety of statistical machine learning techniques to real-world problems spanning analysis, predictive modeling, and optimization of structured and unstructured data
• Experience using tools such as SQL, SageMaker, Python, R, or equivalent for statistical modeling of large data sets
• Well-developed written and oral communication skills with the ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
• Knowledge of and familiarity with:
  • Software engineering experience in C/C /C#/Java/Scala or similar object-oriented or functional languages is highly regarded but not a prerequisite.
  • Prior academic or industry research experience is highly regarded but not a prerequisite.
  • Prior exposure to financial services or the insurance industry may be helpful but is not a prerequisite.

You’ll Love Working Here Because You Can: 

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.     

Our Application Process:   

Submit your application and resume at the specific Prudential link and on your career services portal. If eligible, you would participate in a first-round interview, to showcase your skills and experiences relevant for the role. If advanced, you’ll join us virtually for final round interviews to learn more about our business, culture, and the data science opportunities available across our organization. 

Salary : $1 - $0