Graduate Analyst/Consultant

Datatech Analytics; England; Hybrid; GBP 32,000; Full time

Job summary

A leading aviation consultancy in the UK is seeking a Graduate Analyst Consultant to work on exciting projects involving Machine Learning. This hybrid role combines office and remote work and is perfect for recent graduates with a background in data science or related fields. The ideal candidate will thrive in a team environment and have strong problem-solving skills. Opportunities for rapid career development are available, along with excellent benefits.

Benefits

Competitive salary

Referral scheme

Opportunity for career development

Qualifications

• Recent graduates or early career professionals welcome.
• Demonstrable experience in applying Machine Learning to real-world problems.
• Self-directed learner capable of developing technical skills independently.

Responsibilities

• Contribute to project portfolio across all business areas.
• Take on responsibility and client-facing tasks from day one.
• Work with senior staff to identify career development plans.

Skills

Machine Learning

Python

R

Statistical Analysis

Problem Solving

Project Management

Education

Numerate Graduate (Maths, Data Science, Quant degrees preferred)

Job description

Title

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

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 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 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.

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: www.datatech.org.uk