Data Science Intern/Co-op

About Thales

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

For decades, Ottawa has been a global technology leader. Today, Canada’s capital holds one of the brightest and most diverse technological ecosystems in North America. Voted as Canada’s best place to live 2017 by Maclean's, Ottawa offers a low cost of living with a high quality of life. The Thales Ottawa office has been a major supplier and long-term trusted partner to DND, enabling the Canadian Armed Forces and the Canadian Coast Guard to achieve mission success.

Position Summary

We are searching for a Data Science Intern/Co-op student for a future vacancy for 4 months on our Team in Ottawa, ON. The Data Science Intern/Co-op student will be involved in data analytics and general data governance in support of innovation projects that contribute to naval platforms in-service support programs. As part of the Innovation Team, the student will help deliver value to the operational team quickly in an agile and incremental way. More specifically, the Data Science Intern/Co-op student will work with business analysts and operational stakeholders to identify problems and find relevant data solutions. The type of solutions could range from implementing data pipelines, building domain-specific data schemas, building machine learning models, and implementing dashboards that help with decision making – while using modern development techniques and technologies.

Essential Functions

• Support data initiatives such as dashboards required for the maintenance and engineering of complex assets;
• Contribute to data governance initiative such as data landscape;
• Develop ETL/ELT pipelines;
• Develop data mappings and lineage;
• Develop data quality rules;
• Create AI models based on available data.

Minimum Requirements

Skills and Abilities:

• Experience with business intelligence tools such as Power BI;
• Experience with data science techniques and toolsets such as Argo, dbt, Nifi, Jupyter Notebook;
• Experience with data modeling techniques and languages;
• Experience with scripting technologies such as Python, R;
• Knowledge of agile software engineering methodologies;
• Work on well-defined projects with minimal supervision;
• Proven problem solving and analytic skills with a desire to learn;
• Business acumen;
• Capable of developing strong relationships across the business through excellent customer service; and,
• Excellent communication skills in the English language, written and verbal.

Education:

• 3rd or 4th year undergraduate student in software engineering, computer science or related field.

Preferred Qualifications

Skills and Abilities:

• Experience with military (ideally Navy);
• Experience with software engineering;
• Experience with artificial intelligence techniques and toolsets.

Education:

• Undergraduate degree in mathematics, physics or a related field.

Special Position Requirements

• Occasional travels to the East or West Coast

Compensation and Benefits

The reference Total Target Compensation (TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is between Total Target Cash (TTC) 55,000 – 67,000 CAD Annual.

Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
• Employee Discounts on home, auto, and gym membership.

Key skills/competency

• Data Analytics
• Data Governance
• ETL/ELT Pipelines
• Machine Learning
• Business Intelligence
• Power BI
• Python
• R
• Agile Methodologies
• Data Modeling