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- Tasks: Drive digital transformation in Safety Management Systems using AI and data analytics.
- Company: Join a leading partner in global aviation logistics with a rich history since 1833.
- Benefits: Enjoy a 12-month fixed term contract with opportunities for growth and innovation.
- Why this job: Be at the forefront of AI-driven solutions that enhance safety and operational performance.
- Qualifications: Bachelor's or Master's in Computer Science, Data Science, AI, or related fields required.
- Other info: We value diversity and encourage applications from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
People. Passion. Pride. This is what has driven our teams since 1833. Since that time, we have developed to become a critical partner in the global aviation industry, delivering time-critical logistics services at over 300 locations in 65 countries, across 6 continents. But at the heart of our business is our people.
We are seeking a skilled AI & Data Analyst to drive digital transformation in our Safety Management System (SMS) across Europe. The successful candidate will leverage AI, data analytics, and software development to enhance risk management, compliance, and operational performance in ground handling activities. This role involves developing applications, dashboards, and AI-driven risk models to replace traditional paper-based systems and improve decision-making for all levels of management. This position is a 12 month fixed term contract.
What you will be doing:
- Research and implement AI/ML solutions in SMS to enhance risk detection and mitigation.
- Develop predictive analytics models to analyse past incident reports and forecast high-risk scenarios.
- Utilise Natural Language Processing (NLP) to automate analysis of safety reports and detect trends.
- Design and maintain risk scoring algorithms to assess and prioritise operational hazards.
- Develop AI-based root cause analysis systems to identify patterns and suggest preventive measures.
- Design and implement real-time dashboards displaying safety metrics, incident tracking, and compliance data.
What we are looking for:
- Bachelor's or Master's in Computer Science, Data Science, AI, or a related field.
- Strong expertise in Python, R, SQL, or other data analytics tools.
- Experience with Machine Learning, NLP, and AI-driven predictive modelling.
- Proficiency in data visualisation tools (Power BI, Tableau, or similar).
- Experience in API development & system integration.
Diversity: MenziesAviation are a committed equal opportunity employer and encourage applications for suitably qualified and eligible applicants regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy, and maternity. We strive to create an inclusive working environment, where the different knowledge, perspectives, experiences, and approaches of our global workforce are represented. Where everyone feels valued and can reach their full potential.
Application Instructions: Is this role ticking all the boxes for you? If so, please click apply now!
AI & Data Analyst - SMS (12-Month FTC) employer: John Menzies
Contact Detail:
John Menzies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Analyst - SMS (12-Month FTC)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analytics, especially in the context of safety management systems. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the aviation and data analytics sectors. Attend relevant webinars or local meetups to connect with people who might provide insights or even referrals for the position.
✨Tip Number 3
Showcase your practical experience with AI and data visualisation tools by working on personal projects or contributing to open-source initiatives. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used predictive modelling or NLP in past projects. Being able to articulate your thought process and results will demonstrate your expertise and problem-solving skills.
We think you need these skills to ace AI & Data Analyst - SMS (12-Month FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your expertise in AI, data analytics, and any specific tools mentioned, such as Python or SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Discuss how your background in AI and data analysis can contribute to enhancing risk management and operational performance in their Safety Management System.
Showcase Relevant Projects: If you have worked on projects involving machine learning, NLP, or predictive modelling, include these in your application. Briefly describe your role and the impact of these projects to demonstrate your hands-on experience.
Highlight Soft Skills: In addition to technical skills, mention soft skills that are important for the role, such as problem-solving, teamwork, and communication. These will show that you can effectively collaborate and contribute to the team.
How to prepare for a job interview at John Menzies
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python, R, SQL, and any data analytics tools you’ve used. Bring examples of projects where you've implemented AI/ML solutions or developed predictive models, as this will demonstrate your hands-on experience.
✨Understand the Role's Impact
Research how AI and data analytics can enhance risk management and operational performance in the aviation industry. Be ready to explain how your skills can contribute to improving decision-making processes within their Safety Management System.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach developing risk scoring algorithms or automating safety report analysis using NLP. This shows your analytical thinking and practical application of your skills.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data analytics and AI. Share any personal projects or continuous learning experiences related to these fields. This will help convey your commitment to staying updated with industry trends and technologies.
