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- Tasks: Join a dynamic team to apply Machine Learning in real-world aviation projects.
- Company: Global Aviation Consultancy with ambitious growth plans and a collaborative culture.
- Benefits: Competitive salary of £32,000, hybrid work model, and excellent career development opportunities.
- Why this job: Be the data expert driving impactful projects in the exciting aviation industry.
- Qualifications: Numerate degree with experience in Python/R and statistical analysis.
- Other info: No aviation experience needed; training provided for your success.
The predicted salary is between 28800 - 38400 £ per year.
Location: Farnborough Office (Hybrid – 3 days in office/2 days remote)
Salary: £32,000 plus excellent benefits
Eligibility: We can only accept and process applications from UK nationals and EU citizens with settled or pre-settled status. We cannot accept or process applications from anyone requiring a Visa or anyone holding a Graduate Visa. Applications which do not meet this requirement will be deleted without processing.
Who we are: Our client is a global Aviation Consultancy that specialises in improving client operational performance and conducting regulatory, strategy and policy analysis. In the 20 years since the company started, they have worked with over 80 clients from 40 countries across 6 continents. They are a growing consultancy with ambitious growth plans. They have achieved strong growth through:
- High client retention.
- High staff retention.
- Exceptional track record of delivery.
What we're looking for: Graduate entry level candidates (data science, analytics, or related quantitative degree) with demonstrable experience in applying Machine Learning to real world problems. Need to be skilled using Python/R and statistical analysis – recent graduates or early career professionals welcome. The role will be working in a team of 4 on a particular project where Machine Learning is key. You will also have the opportunity to work on wider analytical projects related to airport operations, airspace capacity and air traffic management.
The role would suit a self‐directed learner capable of developing technical skills independently who has logical problem‐solving and project‐management skills. Being able to communicate findings and work collaboratively is essential. They are looking for someone who thrives in a project environment where they will be the data expert contributing to broader aviation projects, not just another analyst in a data company. No aviation experience required – they provide domain training.
Graduate staff responsibilities:
- Contribute to our project portfolio across all business areas.
- Show willingness to take on responsibility and client‐facing tasks from day one, with support from other team members.
- Work with senior staff, coaches and mentors to identify an accelerated career development plan.
If this sounds like the role for you, then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral scheme! For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Graduate Analyst/Consultant in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Analyst/Consultant in London
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use examples from your projects or coursework to demonstrate your problem-solving abilities and technical know-how.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Check out our website for the latest openings and apply directly. We’re always looking for fresh talent, and applying through us gives you a better chance to stand out!
We think you need these skills to ace Graduate Analyst/Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Analyst/Consultant role. Highlight your skills in Python/R and any experience with Machine Learning. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our projects. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, whether in university or on your own, make sure to mention them. We’re keen to see how you've applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
Brush up on your maths and data science skills before the interview. Be ready to discuss how you've applied machine learning to real-world problems, as this is a key focus for the role. Prepare examples that showcase your analytical thinking and problem-solving abilities.
✨Master Python and R
Since the job requires proficiency in Python or R, make sure you can talk confidently about your experience with these programming languages. Consider preparing a small project or two that you can discuss during the interview to demonstrate your coding skills.
✨Show Your Team Spirit
This role involves working closely with a team, so be prepared to discuss your collaborative experiences. Think of examples where you've successfully worked in a group setting, highlighting your communication skills and ability to contribute to a project environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company and the role. This shows your genuine interest and helps you understand if the company culture aligns with your values. Ask about their growth plans, the types of projects you'll be involved in, and how they support career development.
