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Calgary, Alberta, Canada

Internship

Onsite

Intern

Imperial Oil is dedicated to responsibly developing Canada’s energy resources through technology and innovation. They are seeking a Data Scientist Intern to join their Digital Accelerator's data science group, where the role involves solving business problems using machine learning and analytical techniques within a multi-disciplinary team.

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Responsibilities

Work as a member of the Imperial Digital Accelerator with a fusion team of highly talented Data Scientists, developers and opportunity managers, to unlock substantial value from operations
Work closely with the business teams to understand their goals, business problems and assist in identifying potential analytical and data science solutions and feasibility
Support the full range of problem-solving activities including data wrangling, ETL pipeline development, rapid scoping level / exploratory data analysis, proof of concept solutions as well as end-to-end execution plans for scaling proven models and deploying into an operational environment
Ensure your models and analytics are tested with the end users and iterate to deployable adoptable solutions
Communicate key metrics and results to stakeholders, as you progress through delivery leveraging visualization tools as appropriate for effective story telling
Continue model / tool support in operational phases, including model performance monitoring and retraining
Keep up to date with the latest advances in the data science field and actively participate in data science communities
Conduct peer reviews with the data science team to ensure high-quality products
Help mature ML Ops framework and adoption
Work closely with the platform and data infrastructure team to ensure data science needs are properly considered in architecture and data pipelines are robust

Qualification

Required

Experience in advanced analytics and data science solving academic and or business problems
Degree in machine learning, computer science, statistics, mathematics, physics, engineering, economics, operations research or related quantitative field
Broad array of ML and AI skills (supervised, unsupervised, reinforcement learning and mathematical optimization)
Strong Python programming skills, additional benefit for Pyspark and Databricks experience

Preferred

Ability to explain data science solutions and concepts to the end users
Strong mentorship skills, and enthusiasm for sharing knowledge
Ability to effectively iterate and communicate results to stakeholders and team members using appropriate visualization and communication tools
Preference for domain knowledge in energy and mining industrial processes