Data Scientist Intern - Toronto, Canada - Swiss RE

Swiss RE
Swiss RE
Verified Company
Toronto, Canada

1 week ago

Sophia Lee

Posted by:

Sophia Lee

beBee Recruiter


Description

About The Team:


You will join an ambitious global team comprised of technologists and innovation specialists, with diverse technical and business backgrounds, who are passionate about solving the problems of tomorrow.

As a part of this global team, you will have the opportunity to collaborate with colleagues in Canada, Latin America, Europe, and Asia.


About The Role:


As a Data Science Intern, you will join a team of data scientists, analytics consultants, and business experts to work on a global strategic initiative to make better use of our data and enhance our ability to make data driven decisions.

You will work closely with business partners to find opportunities for leveraging data to drive business solutions, understand the business problem and extract relevant trends and patterns from data.

You will help the team shape, develop, and execute complex analytic solutions that will transform the insurance industry.

You will gain exposure to a project that is using groundbreaking technology that applies Data Science and Machine Learning to solve new and emerging problems for Swiss Re.

You will also support the Analytics Consulting team in sharing periodic updates with stakeholders to highlight key projects and achievements.


About You:

Do you have a passion for tech and innovation? Do you have a desire to work with technical experts and business leaders to drive ideas forward? Are you resilient, hardworking, creative, and dependable? If so, then this could be the right fit for you


Opportunities:


  • Build prototypes, run experiments, train new models, and support developing data science products that solve realworld business problems
  • Build industry knowledge
  • Communicate findings that help support solving business problems, insight generation and decision making
  • Build end to end big data pipelines from data ingestion to insight generation
  • Check to ensure consistency, integrity and robustness of data pipelines
  • Manage code base and git repository in the development platform

Position Requirements:


  • Currently enrolled in an accredited program with a focus on data science/analytics, computer science, computational linguistics or related field.
  • Analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems.
  • Proficient in Python and or R, SQL; Familiarity with PySpark is a plus
  • Experience with large data sets and distributed computing is considered a plus.
  • Exposure or experience in areas such as information retrieval, natural language processing, data analytics and information visualization.
  • Basic understanding of statistical analysis.
  • Ability to adapt to a flexible work environment.
  • Standout colleague with a "can do" attitude.
  • Exceptional academic performance (minimum 3.25 GPA)

About Swiss Re


Swiss Re 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.

We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.

We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.

In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.


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Reference Code:124537

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