Aviation Advanced Analytics Consultant

buscojobs España; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading global consultancy is seeking a Consultant with a background in Aviation to join their team in Madrid. You will define digitalization strategies, develop AI algorithms, and support big data projects, contributing to innovative transport solutions. The role offers opportunities for professional growth in an international environment.

Servicios

International projects

Great working environment

Continuous training

Formación

• Master degree from a top-tier university in relevant fields.
• Experience in Big Data and Data Science.
• Fluent in Spanish and English.

Responsabilidades

• Define digitalization and automation strategies.
• Develop machine learning algorithms.
• Support big data architecture implementations.

Conocimientos

Python

R

Matlab

Scala

C++

Java

Big Data

Data Science

Machine Learning

Cloud Architecture

Educación

Master degree in Aeronautical Engineering

Master degree in Naval Engineering

Master degree in Civil Engineering

Master degree in Mathematics

Master degree in Computer Science

Herramientas

AWS

Azure

GCP

Descripción del empleo

ALG is a leading global consultancy team with 35 years of professional experience working alongside the top players in the transport sector (operators, infrastructure developers and investors, etc.), advising them on how to better prepare to respond to strategic, capacity, infrastructure and operational challenges

Currently, we are looking for a Consultant, with a background in Aviation, to join our team in Barcelona or Madrid.

Your role

As a Consultant, you will be part of one of the top transport and infrastructure consulting companies and you could become an industry-leading subject matter expert or a trusted advisor to senior client management on a wide range of issues.

You will be responsible for :

• Definition of digitalization / automation strategies for operations or particular business processes
• Development of artificial intelligence / Machine learning algorithms that add value to our customers
• Perform advanced analytics to support operational and strategic consulting projects
• Support the definition and implementation of big data architectures for cloud environments.

Our digital team works in projects both hand in hand with other practices within the organization (operations, strategy…) to provide the client with best-in-class recommendations but as well in developing purely Big Data and Data Science projects, from cloud architecting to development of complex machine learning algorithms to add value to our clients business.

This team is transversal to all modes of transportation but each member can be specialized to one or multiple modes.

Desired Skills and Experience

• Master degree from a top-tier university program preferably in Aeronautical Engineering, Naval Engineering, Civil Engineering and / or Mathematics / Computer science. MIM is desirable
• Big Data / Data science experience is desirable and required :
• Experience programming in one or more languages, including Python, R, Matlab, Scala, C++ or Java and eagerness to learn more
• Coursework or experience in working and / or setting up Big data architectures, particularly in cloud environments such as AWS, Azure, GCP is desirable
• Coursework or proven experience in machine learning and working with databases is desirable but not required
• Transportation consultancy experience is desirable but not required
• High level of self-reliance and work capacity.
• Fluent Spanish and English is required and other language are desirable. (Oral and written skills)
• Availability to travel.
• Enthusiasm and dedication for transport consultancy.

What do we offer you?

• The possibility of being part of one of the world's leading transport and infrastructure consulting companies.
• International projects.
• A great working environment.
• Continuous training so that you can keep learning and growing professionally.

Please make sure to attach your CV.