2024 Data Science Modeler PhD Internship Program

Key Skills

Algorithms, Analytical and Problem solving, Data Analysis, Data management, Data science techniques, Effective communication skills, Leadership Skill, Machine learning techniques, Mathematical modeling, Microsoft-Excel, Python Programming, R Programming, SQL, Tableau

Job Description

Discover your brighter future by joining one of the fastest growing direct banking companies in the country. Discover’s Emerging Talent Programs offer unique opportunities to launch your professional career in an environment that is structured to support your individual growth, while also helping you build an extensive network to expand your business knowledge and career options. As part of our Emerging Talent Leadership and Internship Programs, you can be part of building and innovating the products and services that help our millions of consumers build their brighter financial futures. At Discover we know our people are the key to our success, and our Emerging Talent Programs provide structure and support while immersing you in the business with a focus on solving real business challenges. Be part of a culture where diversity, teamwork and collaboration reign.

Join a company that is just as employee-focused as it is on its customers, and which is consistently awarded for both. We are all about people, and our employees are why Discover is a great place to

work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.

Discover's Data Science Modeler (PhD) Internship Program offers exciting 9-week paid internship opportunities for highly motivated individuals who are interested in exploring a host of disciplines within Discover. Participants will work on challenging initiatives in a sought-after work environment and culture. Individuals selected will be matched to projects across the enterprise, in the many different business areas/disciplines within Discover business units, including Consumer Banking, Corporate Risk Management, Credit Operations, Payments Network, and US Cards. They will be challenged to exercise and expand their critical thinking and problem-solving skills, working alongside proven leaders on projects and strategic initiatives aligned with Discover's high-priority goals.

Participants can expect:

• 9-week paid internship aimed at aligning personal talents with business initiatives
• Challenging and impactful work assignments that support Discover’s strategic priorities and objectives
• Opportunities to work on complex, cross-functional projects and process improvement initiatives
• A team of resources to assist with training and career development, including dedicated

program managers, experienced performance managers and knowledgeable mentors

• Real time and consistent feedback
• Interaction with the key stakeholders and senior leadership through both projects and program events
• Enhance their abilities to lead projects, make decisions, problem solve and think creatively
• Group activities, including networking events and volunteer activities
• Opportunities to establish lasting career connections with fellow interns
• A housing stipend for the summer

What You’ll Do

As a Data Science Modeler, you will be:

• Responsible for development of predictive models to support Discover business partners.
• Designing and developing models utilizing Machine learning and other algorithms.
• Presenting the results of mathematical modeling and data analysis to management or other end users.

How You’ll Do It

• Researches and leverages state of the art modeling techniques; participates in modeling innovation
• Leverages extensive, deep technical knowledge and leadership skills to drive the development of data science solutions and implements data-driven recommendations and outcomes.
• Maintains a high level of competency in statistical and analytical principles, tools and techniques, and supports the advancement of the best-in-class analytical capabilities to unlock new capabilities and performance, and quickly adapts to modern modeling technique. Demonstrated knowledge in analytical tools.

Basic Qualifications:

• Must be pursuing a PhD Degree in computer science, analytics, technology, engineering, math, economics or related field.
• Current enrollment in an accredited College or University
• Must have a graduation date between December 2024 - June 2025
• A minimum of a 3.0 GPA on 4.0 grade point average scale, in major field of study

Preferred Qualifications:

• Strong verbal and written communication skills, including the ability to translate ideas into clear priorities
• High energy and intellectual curiosity
• Strong analytical skills and a consultative approach to addressing customer needs
• Strong business acumen, knowledge of financial industry, risk management, and business metrics
• Proficiency in SQL, Python, R,
• Proficiency in visual data management, i.e., Excel, Tableau
• Demonstrated ability to solve problems creatively

• Ability to apply previous experience and knowledge to new situations and problems
• Operates as a team player

What are you waiting for? Apply today!

The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.

Compensation:

The base pay for this role is 52.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility.

To learn more, visit MyDiscoverBenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.