Technical Trainer - Data Science, Analytics & Python

Role overview

Key responsibilities

• Deliver engaging virtual and classroom training to groups with varying sizes and abilities.
• Assess progress through practical tasks and projects, and provide clear, constructive feedback.
• Gather course feedback and use it to improve content and delivery.
• Keep materials current with changes in Python libraries, tools, industry practice, and AI-assisted coding.
• Agree learning objectives, schedules, and success measures with client stakeholders.

Topics taught

• Python fundamentals, including syntax, data types, control flow, functions, error handling, files, and APIs.
• Data analysis with pandas and NumPy, including data cleaning, transformation, and exploratory analysis.
• Visualisation with Matplotlib, Seaborn, and Plotly, including communicating a clear data story.
• Statistics, including descriptive statistics, probability, hypothesis testing, and regression.
• Machine learning with scikit-learn, including supervised and unsupervised learning, model evaluation, and feature engineering.
• SQL querying, joining and aggregating data, and connecting Python to databases.
• Tools include Jupyter notebooks, VS Code, Git and GitHub, and virtual environments; analytics tools include Excel and Power BI or Tableau.

Essential skills and experience

• At least 3 years’ hands-on commercial experience in data science, data analytics, or Python development.
• At least 2 years’ experience delivering technical training to adult or corporate learners.
• Strong current Python skills, especially pandas, NumPy, and scikit-learn; solid grounding in statistics and machine-learning workflows.
• Confident delivery of live virtual training using Teams or Zoom, including remote coding labs.
• Able to explain complex technical ideas to non-technical and mixed-ability audiences.
• Experience writing original training materials and hands-on exercises.
• A recognised training qualification, such as CompTIA CTT+, CIPD L&D, or a Level 3 or 4 award in education and training.
• Relevant certifications, cloud data platform experience, and knowledge of generative AI and large language models are listed as requirements.

Pay

• Pay is £350 per day.

Work location

• Work location is remote.