Data Science Intern

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

What’s it like to work at Sun Life?

You’ll find it dynamic and highly professional; collaborative and supportive. We encourage career mobility. Sun Life is also a socially responsible employer, supporting the communities in which we live and work, with a globally recognized commitment to the environment and sustainability.

What's in it for you?

This internship will give you the opportunity to experience life in a professional IT environment. Our interns will be dynamic, energetic, and self-directed members of our IT team. They have a passion for technology, collaboration and creative problem-solving. The intern will actively contribute to meaningful projects and work closely with a mentor and with the leadership team.  

We embrace a hybrid work model that allows for a flexible balance of in-office and remote work, recognising the benefits this approach can provide in terms of work-life balance, productivity, and fostering a collaborative work environment.

Date Science Job Description:

The Data Science intern will work with supervision and guidance to apply basic engineering and data science skills, tools, practices, and techniques to all deliverables. You will work as part of a diverse team to deliver client centered solutions by collaborating with cross-functional groups and contribute to the overall platform development.

As a member of the data science engineering team and as an individual you will gain an appreciation and understanding of data and analytical concepts such as: data modeling, machine learning, analytics, development, testing and governance to name a few.

You will take ownership and accountability of the platform you are working within including quality, stability, maintenance, all driven in support of our clients. 

Preferred Skills:

• Experience with data science platforms such as Jupyter, RStudio, AWS Sagemaker or Dataiku.

• Experience with programming languages and frameworks used in data science such as Python, R, Pandas, Shiny, Bokeh, and Dash.

• Experience with cloud computing environments and advantage especially data processing and Artificial Intelligence services (for example AWS Sagemaker, Comprehend, Athena, Textract).

• Experience with data visualization platforms such as Tableau, Quicksight and Thoughtspot.

Qualifications:

• Must be enrolled in an accredited undergraduate degree program with a concentration in Information Technology, Computer Science, Engineering or closely related field

• Excellent verbal and written communication skills

• Basic understanding of IT systems

• Able to work independently or in a group

• Detail oriented individual 

• Easily motivated with a solid work ethic

• Superior analytical and problem-solving skills

Job Category:

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