IT Graduate

Ansty, Warwickshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Trainee

Data Science Trainee

Graduate

Graduate Consulting - Actuarial Edinburgh Autumn 2025

Graduate Teaching Assistant (GTA) - Federated Learning-based Intrusion Detection System for Intelligent Transportation Systems with Mixed Urban-Road Users

Graduate Claims Analyst

IT Graduate - £34,000 - Starting September 2025

As the global leader in motion and control technologies, Parker Hannifin is present in almost every area of industrial applications and employs about 55,000 people in 50 countries. This opens up a whole world of possibilities in which you can make the best out of yourself. At Parker, you have the individual scope for development to discover a broad range of topics and possibilities to which you can contribute your own ideas. On eye level with your colleagues, interacting in a team which welcomes you heartily. Take charge of your future. Discover Parker for yourself.

This is an amazing opportunity for you to develop your professionalism in technical engineering industry and learn more about your leadership skills. The goal of the program is to provide you with the best possible support early in your career so that you can reach your full potential in working life!

IT Graduate - What you can expect:

  • Work within the business systems teams (for example, supporting the systems that run our manufacturing and supply chains, digital selling, and finance technology) as well as an gaining an understanding of the IT Infrastructure and security.

  • Participate in team projects and gain an understanding of the roles and tools required for successful development and implementation of IT Services.

  • Work within the IT Infrastructure, Business Applications, Process Enterprise and Process Manufacturing

  • Assist other team members in the delivery of quality solutions and execution on work tasks; providing implementation support (guiding users through resolution), managing open issues, and escalating as needed

  • Responsibility for your own projects

    IT Graduate - Your ideal profile should include:

  • Master’s Degree in Computer Science / IT

  • An interest in the field of Digitalisation and Technology

  • Exposure to projects or coursework related to data analysis, statistics, machine learning or database management

  • Exposure to languages and tools used in data analytics such as Python, R, or SQL. Also, some exposure to Data Visualisation tools

  • Excellent influencing and interpersonal skills

  • Initiative, self-starter approach, and strong communications skills

  • Geographical flexibility to move to any Parker location both during and upon completion of the program

  • Fluent in local language, English and an additional language would be beneficial

    Did we spark your interest?

    Then put your career in motion as soon as possible! Simply click Apply Now and attach a copy of your CV

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.