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

Datatech Analytics
Farnborough
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Farming Operations

Data Analyst Training Course (Excel, SQL & Power BI)

Junior Data Analyst

Data Analyst - Farming Operations

Data Analyst Training Course (Excel, SQL & Power BI)

Trainee Data Analyst

Get AI-powered advice on this job and more exclusive features.


This range is provided by Datatech Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Consultant at Datatech Analytics | Specialising in Analytics & Data Recruitment | Client & Candidate Management

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


Please note: Applicants must be UK nationals or EU citizens with settled or pre‑settled status. All other visa holders are excluded. Applications that do not meet this requirement will be deleted without processing.


Our client is a global aviation consultancy that specialises in improving clients' 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, achieved through high client retention, high staff retention, and a strong track record of delivery.


They are now looking for:

  • Graduate entry‑level candidates (data science, analytics, or related quantitative degree) with demonstrable experience applying Machine Learning to real‑world problems; skilled in Python/R and statistical analysis. Recent graduates or early‑career professionals welcome.
  • The role will be part of a 4‑member team working on a project where Machine Learning is key, with opportunities to work on wider analytical projects related to airport operations, airspace capacity, and air traffic management.
  • A self‑directed learner capable of developing technical skills independently, with logical problem‑solving and project management skills. Communication of findings and collaboration are essential.
  • A candidate who thrives in a project environment as the data expert contributing to broader aviation projects, not just another analyst in a data company.
  • No aviation experience required – domain training is provided.

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, please apply today!


Alternatively, you can refer a friend or colleague by taking part in our fantastic referral scheme. For each relevant candidate you introduce who we place, you will be entitled to our general gift/voucher scheme.


Seniority level

Entry level


Employment type

Full‑time


Job function

Analyst – Airlines and Aviation


Datatech is one of the UK’s leading recruitment agencies in the field of analytics and hosts the critically acclaimed event Women in Data. For more information, visit our website: www.datatech.org.uk.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.