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Lead Data Scientist Driving Insights in Financial Analytics

Farm Credit Canada

Regina · On-site Internship Lead 1w ago

About the role

Elevate data-driven decisions as a Principal Data Scientist. Leverage your expertise in big data analytics and predictive modeling to unlock insights from diverse datasets in the financial sector. In this permanent role, you will lead and mentor an accomplished team in tackling complex data challenges. Your deep understanding of statistics and mathematics will enhance decision-making across the organization. Collaborate with senior leaders to identify opportunities and drive impactful solutions in the financial landscape. Key Responsibilities:

• Mentor data teams to identify and solve key problems • Unlock insights from diverse internal and external datasets • Utilize predictive analytics and machine learning techniques • Communicate complex data stories to stakeholders • Partner with senior leaders for strategic recommendations Requirements: • Master’s degree with 8+ years of relevant experience • Expertise in risk management and finance principles • Proficiency in big data analytics and machine learning • Mastery of predictive and descriptive techniques • Strong relationship-building and communication skills Utilize your analytical mastery to drive innovative solutions and guide a high-performing data science team in the financial industry.

Requirements

  • Master’s degree
  • 8+ years of relevant experience
  • Expertise in risk management and finance principles
  • Proficiency in big data analytics and machine learning
  • Mastery of predictive and descriptive techniques
  • Strong relationship-building and communication skills

Responsibilities

  • Mentor data teams to identify and solve key problems
  • Unlock insights from diverse internal and external datasets
  • Utilize predictive analytics and machine learning techniques
  • Communicate complex data stories to stakeholders
  • Partner with senior leaders for strategic recommendations

Skills

Big data analyticsPredictive modelingMachine learningStatisticsMathematicsRisk managementFinance principles

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