Data Science

4 weeks ago


Quebec City, Canada Intact Full time

Who needs insurance? Everybody. That keeps us busy. Very busy. At the Intact Lab, we use machine learning, data science, software engineering, AI, agility, UX and design thinking to transform the customer experience for millions of Canadians. Simplifying insurance takes creativity, empathy and hard work. We explore, take risks, make mistakes, and learn all day, every day. Here, innovation is everyone's job. Ready to make your mark?

**About the role**

As a **Data Science Co-op/Intern**, you will take on stimulating projects that offer opportunities to learn and grow as part of a multidisciplinary team with a mandate to develop and roll out innovative products. **CLICK HERE** to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love.to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love.

**Workplace**: Montreal (2020, Robert-Bourassa) or Quebec (5700, Boul des Galeries)

**You may be a good fit for this role if you**:

- Have strong analytical and problem-solving skills
- Are an effective communicator
- Are well organized, with good time management skills
- Are able to work independently
- Are creative
- Are comfortable working as part of a team

**What **you’ll** do here**:

- Transform complex data sets into meaningful insights, conclusions and recommendations
- Participate in developing completely new and innovative solutions, using machine learning, AI and statistical approaches
- Get experience working with different types of data including telematics, text data and image data
- Be on the lookout for new approaches and opportunities to integrate them into the solutions you design

**What you bring to the table**:

- Currently pursuing a Bachelor's, Master's or PhD, in artificial intelligence, data science, computer science, mathematics, statistics or a related field
- Available to work with us full-time (35 hours per week) from** **May to August 2023**
- Practical experience in data science, machine Learning or deep learning
- Practical experience with Python or R programming languages
- Knowledge of Big Data tools: Spark, Hadoop (an asset)
- Knowledge of computer vision or natural language processing (NLP) (an asset)
- Understanding of data science approaches in financial services (an asset)
- Bilingualism is an asset (French and English)

**Here are a few reasons why others have joined our team**:

- Experience first-hand what it’s like to work as a Data Scientist and learn more about how advances in technology are shaping the way the insurance business works
- Explore new ideas and learn best practices in a fun, inclusive environment
- Put your creative mind to work while you help the team solve problems and contribute to challenging, meaningful projects
- Be a part social events with the team, where you will meet new people and celebrate successes
- Earn a competitive salary depending on the number of credits acquired at the time of your internship

LI-Hybrid

LI-IT

IN-QC

**What we offer**

Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a temporary member of our team:

- Inspiring leaders and colleagues who will lift you up and help you grow
- Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues
- A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs
- Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities
- A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique.

**We are an equal opportunity employer**

At Intact, we value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected, and heard.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.


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