Closing Date (MM/DD/YYYY):
08/18/2026Worker Type:
Term (Fixed Term)Language(s) Required:
EnglishTerm Duration (in months):
15Salary Range (plus eligible to receive a performance based incentive, applicable to position) :
$107,780 - $145,820Why 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
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
Accessibility and accommodations
To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: [email protected]. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.
Skills Required
- Master's degree in a related domain or 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
- English language proficiency
- Understanding of the agricultural industry and FCC business policies and processes
- Experience working with structured and unstructured data
- Experience with machine learning, artificial intelligence or advanced modelling techniques
What We Do
FCC is a federal Crown corporation that is 100% invested in Canadian agriculture and food. With 100 offices across the country (and our headquarters in Regina), we’ve built a culture of teamwork, leadership and respect. We offer financing, insurance, software, learning programs, and other business services to producers, agribusiness owners and agri-food entrepreneurs across the country. FCC is one of Canada’s best employers. Here, diverse people pull together to achieve challenging and rewarding goals. Learn and grow in an environment of acceptance and accountability. We want our employees to succeed, and our culture helps them do it.
