Jobs in Crawley, United Kingdom
Research Director
ENI – Elizabeth Norman International
Project Coordinator
Blue Signal Search
Clinical Negligence Solicitor
TSR Legal
Discover more opportunities than anywhere else. Find more jobs nowCustoms & Trade Compliance Manager
Pod Talent
Mandarin Chinese Linguist Expert (Remote) | Sigma AI
Sigma Group
Connect with headhunters to apply for similar jobsProject Engineer – AUSTRALIA
Contract Scotland
Senior Clinical Fellow in Anaesthesia (Trauma)
NHS
Evening Document Production Specialist (Remote)
Ryder Reid Legal
Engineering Manager - Solutions Engineering
Canonical
Human Resources & Leadership Consultant – Self-Employed Contractor
Prosper With Grace
Lead SAP Payroll Consultant
Intec Select
Military Solicitor (Team Leader)
HarKaye Core Talent
Editor (Remote)
Crossing Hurdles
Web Solutions Architect
Digital Silk - Growing Brands Online
Service Delivery Coordinator
CRG | TEC Recruitment
Temporary Field Based Account Manager
UK Greetings Careers
Data Science Trainer
Job summary
A leading education technology provider is seeking an experienced Data Science Trainer to conduct live, hands-on training for aspiring professionals. The role involves mentoring learners through projects, ensuring practical industry alignment, and conducting sessions on Python, Machine Learning, and Data Visualization. This flexible, fully remote engagement is ideal for trainers who enjoy teaching while continuing their industry work. Join us to work with motivated learners and create lasting impact.
Benefits
Qualifications
- 4+ years of experience in Data Science / Analytics / ML.
- Strong proficiency in Python and relevant libraries.
- Solid understanding of statistics and ML algorithms.
- Prior experience in training or mentoring preferred.
Responsibilities
- Conduct live online Data Science training sessions.
- Deliver training on Python, Statistics, EDA, and ML.
- Guide learners through projects and case studies.
- Support learners during doubt resolution.
Skills
Tools
We are looking for an experienced Data Science Trainer to deliver live, hands‑on training sessions for aspiring and early‑career professionals. The role involves mentoring learners through real‑world use cases, guiding projects, and ensuring practical industry alignment.
This is a contractual, remote engagement, ideal for professionals who enjoy teaching alongside their industry work.
- Conduct live online Data Science training sessions (3 sessions / week, 1–1.5 hours per session)
- Deliver practical, industry‑aligned training on: Python for Data Science, Statistics & Probability, Exploratory Data Analysis (EDA), Data Visualization (Matplotlib, Seaborn), Machine Learning (Supervised & Unsupervised), Model Evaluation & Optimization
- Guide learners through hands‑on projects and case studies
- Support learners during doubt‑resolution and interactive discussions
- Assist with resume, portfolio, and career guidance sessions
- Conduct mock interviews / technical evaluations when required
- Ensure session recordings and learning quality standards are maintained
- 4+ years of experience in Data Science / Analytics / ML
- Strong proficiency in Python, Pandas, NumPy, Scikit‑learn
- Solid understanding of statistics, ML algorithms, and data workflows
- Prior experience in training, mentoring, or teaching (preferred)
- Excellent communication and presentation skills
- Ability to explain complex concepts in a simple, practical manner
- Comfortable conducting live virtual sessions
- Experience with real‑world datasets or industry projects
- Exposure to SQL, Power BI, Tableau, or Cloud (AWS / GCP / Azure)
- Background in mentoring working professionals or fresh graduates
- Type: Contractual / Freelance
- Mode: Fully Remote
- Duration: As per cohort / program requirements
- Compensation: Competitive, per session / monthly basis (discussed during interview)
- Work with motivated, career‑focused learners
- Flexible remote engagement
- Opportunity to build trainer credibility and brand presence
- Long‑term collaboration opportunities based on performance
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.