Technical Trainer (Data Analytics)

TL;DR

Technical Trainer (Data Analytics): Delivering data and digital transformation programs with an accent on Python-based data analysis and machine learning. Focus on facilitating hands-on workshops, teaching SQL and predictive modeling, and translating complex technical insights into business strategy.

Location: Home-based, UK (with occasional travel to London office)

Company

An education technology company that enables corporate and government organisations to achieve business goals by educating their workforce with critical digital transformation skills for the AI era.

What you will do

• Deliver data-related curriculum and core data modules across apprenticeship pathways and corporate training engagements.
• Facilitate technical sessions on Python, focusing on Pandas and NumPy for practical data manipulation and wrangling.
• Lead workshops on forecasting temporal data and implementing supervised/unsupervised machine learning models using Scikit-Learn.
• Teach efficient SQL querying and data visualization using libraries such as Matplotlib, Seaborn, and Plotly.
• Guide learners through data storytelling, KPI identification, and translating predictive insights into actionable business strategy.
• Collaborate with Product Managers to refine learning resources and build practical Python/ML data scenarios.

Requirements

• Must be based in the UK.
• Exceptional hands-on experience with Python applied to data analysis (Pandas, NumPy).
• Proven ability to build and teach predictive models and ML workflows using Scikit-Learn.
• Practical knowledge of forecasting and analyzing temporal data sets.
• Strong capability in writing and teaching SQL, including joins and subqueries.
• Exceptional communication skills to translate complex programmatic concepts for non-technical staff.

Nice to have

• Commercial industry experience applying data analytics and ML concepts.
• Academic or practical background in statistical testing, experimental design, or advanced probability.
• Understanding of data engineering (Airflow, Docker, Kubernetes) and automated pipelines.
• Familiarity with cloud data warehousing (Snowflake, BigQuery).
• Formal teaching qualification (PGCE, QTS) or substantial enterprise facilitation experience.

Culture & Benefits

• Pension with 4% matched contributions and salary sacrifice options.
• 25 days holiday plus flexi bank holidays and a day off for your birthday.
• Private medical insurance, cash plan, and a monthly Health & Wellbeing allowance.
• CPD Allowance and dedicated time for professional development and growth.
• Enhanced Maternity and Paternity Leave.
• Active company culture with summer/Xmas events and various team-building socials.