Closing Date (MM/DD/YYYY):

08/18/2026

Worker Type:

Term (Fixed Term)

Language(s) Required:

English

Term Duration (in months):

15

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$107,780 - $145,820

Why FCC?

At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Here’s what you can expect when you join our team:

• Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs
• Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world
• Growth: Learning and development opportunities to help you thrive
• Hybrid work options

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How you’ll make an impact 

Leverage your expertise in advanced analytics, statistical modelling and data science to unlock insights from complex internal and external data and support informed decision-making across FCC. 

As a Senior Data Scientist, you’ll lead complex analytics initiatives, determine technical approaches and tools, and develop models that help explain past performance and project future scenarios. Your strong analytical capabilities and data storytelling skills will enable you to translate complex findings into clear insights for leaders and stakeholders while advancing data-driven solutions to business challenges. 

If you are an analytical problem-solver, confident communicator, organized multi-tasker and committed continuous learner who thrives in a collaborative environment and is motivated by turning data into meaningful business insights, this might be the role for you. 

What you’ll do 

• Lead complex insights projects to identify patterns and trends in data and model future scenarios 
• Determine technical direction for data solutions, including methodologies, tools and analytical approaches 
• Evaluate diverse data sources and develop insights that support business decisions and risk mitigation 
• Build, validate, monitor and enhance predictive models and analytics solutions using advanced analytics techniques 
• Collaborate with internal and external stakeholders and communicate complex findings in a clear and actionable way 
• Provide technical leadership and mentorship to analytics professionals while promoting quality and consistency 

What you’ll bring to the team 

Required qualifications: 

• A master’s degree in a related domain or an equivalent combination of education and experience 
• Minimum six years of experience in data science, analytics, economics, finance, corporate and commercial credit rating, risk management, credit risk modelling, credit portfolio management or information technology 
• Extensive knowledge of one or more relevant domains and advanced analytics methodologies 
• Proven expertise in predictive and descriptive analytics techniques and statistical modelling 
• Demonstrated proficiency with SAS, MS Power BI, AWS tools, R and Python 
• Strong mathematical or statistical background 
• Ability to communicate complex concepts effectively to non-expert stakeholders 

Preferred qualifications: 

• Understanding of the agricultural industry and FCC business policies and processes 
• Experience working with structured and unstructured data is an asset 
• Experience with machine learning, artificial intelligence or advanced modelling techniques 

Not sure you meet every requirement? We encourage you to apply anyway. 

You belong here  
At FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.  
   

We encourage qualified applicants to apply, including members of these four employment equity groups:  
• Indigenous Peoples  
• Members of visible minority groups  
• Persons with disabilities  
• Women