Senior Data Science & GenAI Trainer (Remote) in London

Senior Data Science & GenAI Trainer (Remote) in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Deliver engaging Data Science and GenAI training sessions, both virtually and in-person.
  • Company: Join a forward-thinking company dedicated to advancing AI education.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and learner satisfaction.
  • Why this job: Shape the future of AI learning while making a real impact on learners' careers.
  • Qualifications: Experience in Data Science, GenAI, and strong communication skills required.

The predicted salary is between 63000 - 77000 £ per year.

Forward Role seeks a Senior Technical Learning Specialist in Data & AI to deliver Data Science, Gen AI and Python training.

Most sessions are virtual with some in-persons at centres or client sites.

You will tailor content for diverse audiences and help design future AI courses.

You will stay updated on Gen AI tools, prompt engineering, and responsible AI practices while delivering high learner satisfaction and outcomes.

Senior Data Science & GenAI Trainer (Remote) in London employer: Forward Role

As a Data Platform Architect with us, you'll be part of a dynamic and innovative team dedicated to shaping the future of our data architecture. We offer a collaborative work culture that values your expertise and encourages knowledge-sharing, ensuring you have the opportunity to grow and make a significant impact on a business-critical programme. Located in the South West, our hybrid working model provides flexibility while fostering strong team connections, making us an excellent employer for those seeking meaningful and rewarding employment.

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Contact Details:

Forward Role Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science & GenAI Trainer (Remote) in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Forward Role!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Science & GenAI Trainer (Remote) at Forward Role.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Forward Role.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Science & GenAI Trainer (Remote) at Forward Role, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Science & GenAI Trainer (Remote) in London

Data Science
GenAI
Python
Training Delivery
Content Tailoring
Virtual Training
In-Person Training

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Forward Role, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Forward Role. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Forward Role

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Forward Role!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.