Location of Work

Edmonton, AB and ability to work remote

Qualifications

A day in the life of a Data Science Intern...

- You will be working on the Data and Analytics team, to empower business partners by providing powerful tools and insightful analytics.
- You will work in an enriching environment, where you are provided the necessary tools, resources, and encouragement to learn something new every day.
- You need to have the willingness to get your hands dirty with maintaining ML models and understanding data.
- You will manage your time effectively by respecting deadlines, updating your manager on progress, and communicating effectively with staff/stakeholders.
- The ability to communicate insights from ML models in an understandable format to non-experts will be key.
- The opportunity to closely watch and be part of the implementation of Gen AI products/services.
- Mentors are readily available to provide guidance, answer questions, and help you overcome challenges.

Required Skills :

- Basic knowledge of R and Python.
- Basic knowledge of Statistics: Probability and Statistics, Regression Analysis and Machine Learning.
- Basic knowledge of Operations Research: Linear Programming and Network Flow Analysis. - Not needed
- Plus: Deep Learning and Natural Language Processing.
- Working knowledge of using AWS services is a plus.
- Familiarity with Python libraries such as Pandas, Matplotlib, Numpy, Scikit Learn.
- Good to have familiarity with LLMs but not a must.

Description of the Role and Responsibilities

- Understand and implement data science procedures and algorithms to solve business problems with a cross-functional team.
- Be involved in technical and non-technical aspects of data science and analytics projects.




- Analyze and present results of data mining processes to the stakeholders.
- Collaborate with data scientists, data engineers, and business analysts to understand the requirements and create models that addresses the business problems or create new opportunities for the business.
- Brainstorm solutions and algorithms opportunities to all our business challenges.
- Take initiative to tackle and solve problems outside of scope and package solutions as reusable, modular components.
- Prototype, develop and deploy models into production using state-of-the-art technologies. Model validation and optimization is a crucial aspect of a production system that you will also be responsible for.
- Communicate and collaborate to build a team-oriented learning workplace with team members.
- Learn by doing, being proactive, and asking questions.
- Write quality code to build quality products.

Necessary Competencies

- Superior strategic thinking and planning.
- Ability to nurture and contribute to innovation and creative solutions.
- Strong analytical and excellent communication skills; ability to organize and analyze data and present summaries of findings.
- Strong verbal and written communicator to wide breadth of audiences including senior management.
- Independent thinker capable of self-starting and problem-solving skills is a must.
- Self-motivated to learn and excel.




- Ability to ask for help.

Work Description

Example projects include:

- A prediction model which will generate the predicted time of arrival for the roadside assistance unit based on the location of the car and the time when the car broke down.
- A membership coverage recommendation model which will suggest the right plan to a customer based on a set of customer characteristics and a set of feature characteristics of all plans.
- A segmentation model which will extract the segments of customers based on customer characteristics, lifetime value of a member, and some feature characteristics of a plan.

Expected Outcome From Students

- Model Artifacts/Code
- Preparing data visualizations using industry-leading tools to summarize results for stakeholders.
- Documentation of your results - tell the story of the work, the successes, and the lessons-learned for posterity.
- Business value/impact/outcomes, etc.
- Recommendations for next phase if any

Benefits to Students

- Convert academic knowledge into industry skills.
- Build a portfolio of projects/data analyses.
- Build a professional network with future colleagues.
- Become a better problem solver and communicator.
- Gain practical experience measuring the effectiveness of different solutions.
- Learn how corporations use data science to make their business more efficient.
- Gain experience working with mathematical models and statistical analysis tools such as Python.
- Gain practical experience to decide if the occupation is the right one or not.

WORK MODEL: Remote

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

📌 Data Science Intern (Edmonton)
🏢 Alberta Motor Association
📍 Edmonton