Data Science Trainer

June 10, 2026
Application ends: September 8, 2026

Job Description

REQUIREMENTS

  • Strong subject matter expertise in data science, analytics, statistics, or machine learning.
  • Proven experience designing and delivering technical training, teaching, or professional learning programs.
  • Proficiency with relevant programming languages, tools, or data visualization platforms.
  • Excellent presentation and communication skills with the ability to explain complex concepts clearly.
  • Ability to develop high-quality, learner-focused content that is technically robust.
  • Collaborative mindset and ability to work in a fast-paced, team-oriented environment.

Preferred

  • Experience delivering training within financial services, banking, or capital markets.
  • Familiarity with applying data science to commercial, credit, risk, or financial use cases.
  • Experience developing customized training solutions for corporate clients.
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or Economics.

RESPONSIBILITIES

  • Design and deliver high-quality training programs in data science, analytics, and machine learning for corporate and professional learners.
  • Create engaging learning materials, including presentations, practical exercises, case studies, and assessments.
  • Deliver training across multiple formats, including virtual, in-person, and blended learning environments.
  • Translate complex technical concepts into clear, practical, and accessible learning experiences for varied audiences.
  • Contribute to the development and enhancement of the data science curriculum and technical training portfolio.
  • Partner with internal product, sales, and client-facing teams to support tailored learning solutions.
  • Stay current on trends in data science, machine learning, and learning design to ensure content remains market-aligned.

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