2019 - Analytics Consultant Intern

Company: Swiss Re
Location: Armonk , New York, United States
Type: Full-time
Posted: 06.NOV.2018
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Summary

2019 - Analytics Consultant Intern About Swiss Re The Swiss Re Group is one of the world's leading providers of reinsurance, insurance and...

Description

2019 - Analytics Consultant Intern

About Swiss Re

The Swiss Re Group is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk ? from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group's overall mission.

ABOUT SWISS RE

Swiss Re is a leading and highly diversified global reinsurer. The company operates through offices in over 25 countries. Founded in Zurich, Switzerland, in 1863, Swiss Re offers financial services products that enable risk-taking essential to enterprise and progress. The company's traditional reinsurance products and related services for property and casualty, as well as the life and health business are complemented by insurance-based corporate finance solutions and supplementary services for comprehensive risk management. (For more company information, go to )

PROGRAM DETAILS

Every year, Swiss Re offers internships to a number of bright and highly motivated students, enabling them to benefit from the company's global perspective and to discover the world. A Swiss Re internship can be much more than a temporary job - it can be your first step to a rewarding career. The program is expected to last 10 - 12 weeks, offers competitive salaries, and is offered in various Swiss Re locations.

The Analytics Consultant Intern will have knowledge and experience in the following key areas:

* Proposing and securing buy-in on project ideas or initiatives

* Creating and delivering presentations in a formal environment

* Innovation and data analytics (i.e., conversant in statistics and the fundamentals of tech topics such as big data, data science, artificial intelligence (AI), machine learning, and Blockchain)

* Methodologies such as Design Thinking and Agile product development

* Project planning to identify deliverables, timelines, and success metrics

We are looking for students who have a passion for innovation and a desire to establish skills for working with technical experts and business leaders, to participate in an internship. You will work with a data science team using the latest in AI and advanced analytics techniques to solve real business problems and create new client solutions. You will be assigned to specific projects where you will work closely with business leaders and data scientists to frame the business problem, shape the analytics solution, manage the project, and share periodic updates with stakeholders.

ABOUT YOU

Technical /Experience Requirements:

* Pursuing a Master's Degree (preferred) or Bachelor's Degree in business management or a related discipline

* Analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems.

* Basic understanding of statistical analysis and familiarity with technical topics such as big data, data science, artificial intelligence (AI), machine learning, and Blockchain.

* Excellent written and verbal communication skills.

* Comfortable working with data scientists on technical projects and explaining high-level project goals, status, and milestones to various project stakeholders.

* Team leader/player with a "can do" attitude.

* Ability to adapt to a flexible work environment.

* Comfortable working with various standard corporate technology tools such as Microsoft Excel and Power Point

* Exceptional academic performance (minimum 3.25 GPA)

SDL2017

 
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