Data Science Analyst Intern Jobs in Quebec (NOW HIRING)

MHIRJ (MHI RJ Aviation Group) is the fusion of two powerful legacies: Mitsubishi Heavy Industries (MHI) and the CRJ Series program. Headquartered in Boisbriand, Quebec, MHIRJ delivers comprehensive operational, engineering, and customer support solutions to the global regional aircraft industry. Our services include maintenance, refurbishment, technical publications, marketing, and sales activities.

With a strong Aerospace Engineering Center and a network of service centers, support offices, and parts depots across the world, we're positioned to support our global customers wherever they fly.

From day one, you will work to provide insights and intelligent decision-making across functions and contribute to the delivery of real projects using the latest technology to solve business problems. You will receive one-on-one and group training and coaching from a team of talented experts and take on complex challenges in a rewarding environment.

The Sales & Operations Planning & Product Performance Team's main objective rests with leveraging data and analytical techniques to guide business decisions with primary focus on the health of the company's P&L. The team is divided between the Analytics and the Development team where you will get to work on various activities between both teams. The position is a direct source for providing insight to help enhance the fidelity of commercial decision making for the CRJ Aftermarket and help digitize that effort by developing Online tools & dashboards to deliver recommendations.

Your tasks will include:

Software Development & Data Science:

• Experience working with AI models and demonstrated ability with AI projects in the past or as projects on GitHub
• Ability to optimize code and identify bottlenecks with different solutions
• Identify data elements and ensure a high level of data quality and accurate reporting.
• Utilize tools such as PowerPoint, Excel, Power BI, and Python to perform the analysis and communicate findings
• Develop automated reports and scripts with defined steps and methodology, allowing frequent and streamlined updates

Development:

• Ability to understand and follow Agile development methodology
• Ability to work with multiple data source files (pdfs, .sgml , .json , .docx. and more) to extract and manipulate data
• Develop query methodology to answer questions about ambiguous data for example answering irregularities in data and where gaps exist

• Create data tools/scripts for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Optimizing algorithms to work in constrained environments

You will develop the following skills:

• Extensive hands-on experience with solving all the main types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
• A suite of tools to perform analysis, develop and maintain web applications, and directly ameliorate the company's P&L performance
• Working knowledge of aviation related data; spare parts, airline operations, industry news, inventory and forecasting, demand planning, and more

The skills you bring:

• Your proven curiosity and adaptability
• Have 1-3 years of experience with an undergraduate degree in Engineering, Mathematics, Computer Science, or related field
• Have an analytical mindset
• Excellent verbal and written communication skills
• Proficient in Microsoft Excel Pivot Tables & Advanced Formulas, PowerPoint
• Experience in qualitative and quantitative evaluation methods
• General programming proficiency, with an emphasis on Python and SQL, and tools such as Git.
• Knowledge of Polars/Pandas, Playwright and Pyautogui
• Experience with cloud technologies like Azure and Databricks is an added plus
• Experience with profiling technologies like Pyinstrument or other profiling methods is an added plus
• High organizational skills and a team player able to work with variable departments.

Additional details:

• Position located at East Mississauga, Ontario- flexible working schedule with expectation to be physically working at the office when required (subject to change)