Graduate Analyst / Consultant

Datatech; Bournemouth; Hybrid; GBP 32,000; Full time

Job summary

A leading aviation consultancy is seeking a Graduate Analyst Consultant to apply Machine Learning in aviation-focused projects. The role involves joining a team of experts to improve operational performance using data science. Graduates in quantitative degrees are encouraged to apply. The position is hybrid, with 3 days in the office and 2 days remote. This opportunity is perfect for those eager to develop their analytical skills in a dynamic project environment.

Qualifications

• Recent graduates or early career professionals welcome.
• Demonstrable experience applying Machine Learning to real world problems.
• Self-directed learner with logical problem solving skills.

Responsibilities

• Work in a team of 4 on projects where Machine Learning is key.
• Contribute to broader analytical projects related to aviation.
• Communicate findings and work collaboratively with team members.

Skills

Python

R

Statistical analysis

Machine Learning

Education

Numerate Graduate (Maths, Data Science, Quant degrees)

Job description

Overview

GRADUATE ANALYST CONSULTANT - Numerate Graduate- Maths, Data Science, Quant degrees preferred

Location : Farnborough Office (Hybrid - 3 days in office / 2 days remote)

Salary : £32,000 plus excellent benefits

Please note : They can only accept and process applications from UK nationals and EU citizens with settled or pre-settled status. They 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.

Our client is a global Aviation Consultancy who specialise in improving their client's operational performance and in 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.

They are now 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 professional 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 are expected to :

• 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 schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. 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.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website : (url removed)