FC
Principal Data Scientist
Farm Credit Canada
Regina · On-site Internship Lead $118k – $159k/yr 2w ago
About the role
Position Details
- Closing Date (MM/DD/YYYY): 05/04/2025
- Worker Type: Permanent
- Language(s) Required: English
- Salary Range: $117,887 - $159,495 (Portfolio Management)
- Expertise Required: Big-data analytics for financial industry
What You’ll Do
- Lead and mentor data teams to find problems, and to solve and opportunities to capitalize on within huge and diverse datasets
- Unlock insights from the most complex and diverse groupings of internal and external data, and tell a story with the data that enables enlightened decision making at all levels of the organization
- Use advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and find ways to improve FCC through data
What We’re Looking For
- Enterprise-wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical concepts
- Confident communicator able to translate knowledge for others
- Expert in statistics and mathematics
- Relationship‑builder comfortable making recommendations to senior leaders
- Proven mentor who works well within a high‑performing team
What You’ll Need
- A master’s degree in one of the noted domain and at least eight years of experience (or an equivalent combination of education and experience)
- Expert knowledge of risk management and finance areas such as credit risk, allowance for credit losses, economic capital, and stress testing
- Demonstrated ability to work with huge data sets and use sophisticated big data and machine learning techniques and technologies
- Mastery of one or more predictive and descriptive analytics tools and techniques
Requirements
- Enterprise-wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical concepts
- Confident communicator able to translate knowledge for others
- Expert in statistics and mathematics
- Relationship-builder comfortable making recommendations to senior leaders
- Proven mentor who works well within a high-performing team
Responsibilities
- Lead and mentor data teams to find problems, and to solve and opportunities to capitalize on within huge and diverse datasets
- Unlock insights from the most complex and diverse groupings of internal and external data, and tell a story with the data that enables enlightened decision making at all levels of the organization
- Use advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and find ways to improve FCC through data
Skills
big datamachine learningpredictive analytics
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