IT Trainer

Huntingdon
3 weeks ago
Create job alert

IT Trainer

Huntingdon

Pay rate: £18-£23 per hour

Immediate start – 3 months contract initially

Our client is looking for an IT Trainer to join their team on an interim basis. Reporting into the Business Systems Service Manager, the IT trainer will be responsible for the development of training materials and methods of delivery, primarily online, e-learning and blended learning, across our client. The primary focus for the role is to be fluent in appropriate tools to enable e-learning in any sector of the organisation, and in a few cases, to plan and deliver appropriate and consistent Virtual Instructor Led Training (VILT) so that CCC can obtain optimum value from IT systems.

This is a hybrid role, however there will be a requirement to work from the office at various points during the month.

Note: This role required Baseline Personnel Security Standard (BPSS) pre-employment screening to be completed

Key responsibilities of the IT Trainer:

  • Develop and maintain high quality training resources, such as training materials, guidance and user documentation, that reflect a range of blended learning approaches focusing on e- learning, and virtual instructor led training to support and enhance IT learning by staff.

  • High level of expertise and skills in the use of the tools to develop e-learning materials.

  • Maintain a broad level of knowledge in relevant business processes to inform the development and change of IT processes and to support training programme development and delivery.

  • Responsible for the organisation of system training sessions including the method of delivery, arranging dates, venues, take up, monitoring progress, quality and evaluation, with the focus on virtual instructor led training (VILT) and e-learning.

  • Research and develop IT systems training resources for service specific IT systems to ensure the provision of consistent and appropriate programmes for staff so that they may fully utilise systems that support their operational activities.

  • Ensure that training includes the principles of good data input practice appropriate to the different functional teams and is in accordance with agreed standards to support maintenance of data quality throughout the specific service systems.

  • Support a network of super users and be a point of liaison throughout the relevant services to communicate and promote best practice.

  • Attend learning and development meetings with partners and stakeholders as a front-line representative of the IT Training team where appropriate. These can be at local, regional and national level.

    Essential skills and experience required:

  • Minimum of 3 years’ experience within a similar role

  • Knowledge of training skills and needs analysis

  • Knowledge and experience of working in a training role with a sound grasp of e- learning, VILT and alternative training methods and delivery

    Our client is built on diversity. Their ambition is to build an inclusive culture where diversity is embraced, and everyone feels safe, respected, valued and able to thrive as part of a winning, engaged team.

    As part of our recruitment process, you will be required to provide evidence of your right to work in the UK. Documentary evidence will be requested at the interview stage

Related Jobs

View all jobs

Systems Advisor (Trainer)

Computing Trainer (Full Training Provided)

Data Science Consultant

Storesperson / Technician

Trainee Data Analyst

Trainee Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.