Role: Technical Trainer - Data Science

Location: Commutable London/Gloucester daily

Working environment: In-person Training, travel is required

Contract: Full time, 37.5 hrs per week

Package: competitive + benefits

Role Description:

Are you an experienced Technical Trainer with a strong background in practical data science, and ideally experience of teaching programming languages including Python and C.

You will be passionate about education, possess excellent communication skills, and have a proven track record of success. As a Technical Trainer, you will play a crucial role in empowering our learners with the skills and knowledge needed to excel in the rapidly evolving field of data science

Key Responsibilities: 

Instruction and Delivery: 

• Conduct engaging and hands-on training sessions, workshops, and seminars for both non-data scientists and experienced data scientists.
• Deliver training content effectively, ensuring that participants gain practical skills and knowledge applicable to their roles. 

Curriculum Development: 

• Design and develop comprehensive training programs focused on practical data science, tailored to meet the needs of our learners. 

Technical Expertise: 

• Demonstrate a deep understanding of data science principles, Python programming, and proficiency in C. 
• Share real-world examples and experiences from a software engineering environment to enhance the practical relevance of training content. 

Assessment and Feedback: 

• Provide constructive feedback to participants, identifying areas for improvement and additional support. 

Collaboration: 

• Work closely with cross-functional teams, including sales, and projects, to align training programs with customer goals. 

Continuous Learning: 

• Stay abreast of industry trends, emerging technologies, and best practices to ensure training content remains current and relevant. 

Qualifications: 

• Educated/Certified in Computer Science, Data Science, or a related field or equivalent industry experience.
• Proven experience as a Technical Trainer with a focus on data science, Python, and C. 
• Strong programming skills in Python and C, with a solid understanding of software engineering principles. 

Use of some of the following tools: 

• Visual Studio 
• Jupyter Notebooks 
• Git 
• Gitlabs 
• Docker 
• Kebernates 
• Apache Spark 
• MatLab 
• TensorFlow 

Our people

We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs or sexual preference, or if you are disabled or a carer, we welcome you and the alternative perspectives you bring to our diverse family. We’re proud of the progress we’ve achieved over the last few years to build an inclusive culture and celebrate our diversity – our rankings on The Inclusive Top 50 UK Employers List are a testament to this.

We are proud to be a Disability Confident employer. All applicants with a disability who fulfil the role criteria will be progressed to the next stage of the process. Please let us know what reasonable adjustment, if any, you require.

You can find out more about Life at QA https://www.linkedin.com/company/qa-ltd/life/4e37c11d-6d97-4013-835d-4d5bf5bcfb2d/ 

A little about QA:

At QA, our mission is powering people’s potential.

We believe the answer to closing the digital skills gap lies with the people organisations already have and the talent we can bring for the future. We’re experts in reskilling, upskilling, apprenticeships and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today. Our bespoke and customisable training methods, learning programmes and talent acquisition solutions cover all digital requirements including emerging and in-demand tech skills to transform the workforce and fuel the success of businesses.

If this is what you’re looking for, here are the next steps:

Hit the apply button and register on our QA website to fill out our quick and easy application form. If you’d like to hear more about the role you can find me on LinkedIn – Tim Heaney or email me: tim.heaney@qa.com - happy to help!

#LifeatQA #QA #theresnoplacelikeqa #LI-TH1 #LI-hybrid #hiring