DSLDP Intern at Travelers developing data science solutions and collaborating with cross-function teams. Gain exposure through professional work experience and community outreach events.
Responsibilities
The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization.
As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques.
You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management.
You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics.
Requirements
Pursuing a Master’s or PhD level degree in Statistics, Mathematics, or Data Science.
Applied statistical knowledge and experience solving “real-world” problems.
Demonstrated ability to communicate technical concepts to a non-technical audience.
Experience with a programming language (Python, R, SAS, etc).
Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.
Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands.
Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients.
Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility.
Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude.
Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position.
Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives.
Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results.
Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result.
Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn.
Benefits
Performance-based cash incentive awards
Job title
Data Science Leadership Development Program Intern
Specialized Analytics Lead Analyst role at Citi focused on leveraging machine learning for fraud prevention, conducting data engineering, building predictive models, and managing fraud risks.
Senior Data Scientist at Boeing creating analytic solutions for HR challenges across various locations. Collaborating with HR and data engineering teams to optimize workforce decision - making.
Data Scientist developing and implementing data science models and algorithms for PayPal. Collaborate with stakeholders to deliver data - driven solutions and optimize processes.
Junior Data Scientist at Raiffeisen Bank working with credit risk models and preparing regular reports. Collaborating with departments to ensure accuracy and maintaining statistical models.
Senior Director managing Data Science & AI capabilities for financial well - being at Aviso. Leading a multidisciplinary team to drive AI adoption and measurable business outcomes under governance.
Data Scientist leveraging innovative data analytics and machine learning to enhance financial crime screening for the bank. Collaborating across teams to drive compliance and operational efficiency.
Data Scientist managing data science lifecycle from data provision to model development at ECCO Gulf in Doha. Collaborating with teams to produce insights and solutions for business decisions.
Werkstudent:in für Data Science / Citizen Development bei Bayernwerk in Regensburg, Entwicklung kaufmännischer Tools mit MS Power und Python, flexible Arbeitszeiten.
Senior Manager in actuarial pricing and data science at QBE, driving Motor pricing strategy and analytics across markets. Collaborating with stakeholders to enhance decision - making through innovative data - led solutions.
Manager in Data Science developing best in class strategies for insights and analysis activities on assigned clients. Managing the team and serving as a point of escalation as needed.