Data Science Trainer
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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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