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- Tasks: Deliver live, hands-on training sessions and mentor aspiring data scientists.
- Company: Leading training organisation with a focus on professional development.
- Benefits: Flexible part-time remote work with potential for long-term collaboration.
- Why this job: Shape the future of data science while sharing your expertise.
- Qualifications: Over 4 years of Data Science experience and Python proficiency.
- Other info: Engaging environment with opportunities for growth and impact.
The predicted salary is between 24000 - 36000 £ per year.
A leading training organization seeks an experienced Data Science Trainer to deliver live, hands-on training sessions for aspiring professionals.
Responsibilities include:
- Mentoring learners
- Guiding projects
- Conducting mock interviews
Ideal candidates possess over 4 years of experience in Data Science and are proficient in Python. This part-time remote position offers a collaborative and engaging environment with opportunities for long-term collaboration based on performance.
Remote Data Science Trainer: Live Hands-On Sessions employer: WillHire
Contact Detail:
WillHire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Science Trainer: Live Hands-On Sessions
✨Tip Number 1
Network like a pro! Reach out to fellow data science enthusiasts and trainers on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and any hands-on training you've delivered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Conduct mock training sessions with friends or colleagues to refine your delivery and get feedback. This will help you feel more confident when it comes to the real deal.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to highlight your experience and how you can contribute to our collaborative environment.
We think you need these skills to ace Remote Data Science Trainer: Live Hands-On Sessions
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in Data Science. We want to see how you've applied your skills in real-world scenarios, so don’t hold back on those juicy details!
Be Specific About Your Skills: When mentioning your proficiency in Python, give examples of projects or tasks where you’ve used it. We love seeing how you’ve tackled challenges and what tools you’ve used to overcome them.
Engage with Our Mission: Let us know why you’re passionate about training others in Data Science. Share your thoughts on mentoring and how you can contribute to our collaborative environment. We’re all about that positive vibe!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at WillHire
✨Know Your Stuff
Make sure you brush up on your Data Science knowledge, especially in Python. Be ready to discuss your past projects and how you've applied your skills in real-world scenarios. This will show that you're not just a textbook expert but someone who can deliver practical training.
✨Showcase Your Mentoring Skills
Since the role involves mentoring learners, think of examples where you've successfully guided others. Prepare to share specific instances where your mentorship made a difference, whether it was through hands-on training or conducting mock interviews.
✨Engage with the Interviewers
Treat the interview as a two-way conversation. Ask insightful questions about their training methods and the types of projects you'll be working on. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
✨Highlight Your Collaborative Spirit
This position is all about collaboration, so be prepared to discuss how you've worked effectively in teams. Share experiences where you contributed to a group project or helped create a positive learning environment, as this aligns perfectly with what they're looking for.
