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Senior Data Scientist

fccfac · Regina, Saskatchewan · Canada · Hybrid

Pay: CAD 107,780 – 145,820 a year

Posted Sep 25, 2026

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Closing Date (MM/DD/YYYY): 10/09/2026 Worker Type: Term (Fixed Term) Language(s) Required: English Term Duration (in months): 14 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 ~ 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…