At a Glance
- Tasks: Deliver engaging Data Science training sessions and mentor aspiring professionals.
- Company: Join a dynamic team focused on empowering the next generation of data scientists.
- Benefits: Flexible remote work, competitive pay, and opportunities for long-term collaboration.
- Why this job: Make a real impact by teaching practical skills in a rapidly growing field.
- Qualifications: 4+ years in Data Science, strong Python skills, and a passion for teaching.
- Other info: Ideal for those looking to enhance their trainer credibility while working remotely.
The predicted salary is between 36000 - 60000 £ per year.
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.
Key Responsibilities
- 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
Required Skills & Qualifications
- 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
Nice to Have
- 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
Contract Details
- Type: Contractual / Freelance
- Mode: Fully Remote
- Duration: As per cohort / program requirements
- Compensation: Competitive, per session / monthly basis (discussed during interview)
Why Join Us
- Work with motivated, career-focused learners
- Flexible remote engagement
- Opportunity to build trainer credibility and brand presence
- Long-term collaboration opportunities based on performance
Data Science Trainer in London employer: WillHire
Contact Detail:
WillHire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Trainer in London
✨Tip Number 1
Network like a pro! Connect with fellow data science enthusiasts and professionals on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational chats – you never know where a conversation might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and case studies. Use GitHub or a personal website to highlight your work in Python, machine learning, and data visualisation. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on common data science interview questions and practice explaining complex concepts in simple terms. Mock interviews can be a game-changer, so consider setting them up with friends or mentors.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate trainers. By applying directly, you’ll get a chance to showcase your unique teaching style and experience, making it easier for us to see how you fit into our team.
We think you need these skills to ace Data Science Trainer in London
Some tips for your application 🫡
Show Your Passion for Teaching: When you're writing your application, let your enthusiasm for teaching shine through! We want to see how you can inspire and guide learners in Data Science. Share any experiences you've had that highlight your mentoring skills.
Tailor Your Experience: Make sure to align your experience with the job description. Highlight your proficiency in Python, statistics, and any relevant training or mentoring you've done. We love seeing how your background fits with what we need!
Keep It Clear and Concise: We appreciate a well-structured application. Use clear language and bullet points where possible to make it easy for us to read. Remember, we’re looking for someone who can explain complex concepts simply, so show us you can do that in your writing!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at WillHire
✨Know Your Stuff
Make sure you brush up on your Data Science skills, especially in Python, statistics, and machine learning. Be ready to discuss real-world use cases and how you've applied these concepts in your previous roles.
✨Show Off Your Teaching Skills
Since this role involves training others, think about your past experiences in mentoring or teaching. Prepare examples of how you've explained complex topics simply and effectively, and be ready to demonstrate your communication style.
✨Engage with the Interviewers
During the interview, treat it like a live session. Ask questions, encourage discussion, and show your enthusiasm for teaching. This will help them see how you interact with learners and your ability to create an engaging environment.
✨Prepare for Practical Scenarios
Expect to tackle some hands-on scenarios or case studies during the interview. Practice explaining your thought process and problem-solving approach clearly, as this will reflect your ability to guide learners through similar challenges.