Innovation Intern - Singapore - Bollore Logistics Asia Pacific

Bollore Logistics Asia Pacific

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Description

200 years ago, Bolloré Group was born.

Today, one of Bolloré Group's fastest growing business sectors, Bolloré Logistics, have grown to become the world's top 10 players in freight forwarding and logistics with powerful network spread across 106 countries, 607 sites with over 20,000 employees.

We pride ourselves having developed specific expertise in providing end-to-end supply chain solutions tailored to our customers' growth and constantly driving innovation to adapt and better cater to their evolving needs.

We place our customers at the heart of all our processes, delivering customized solutions while ensuring ethical and responsible business practices.

Here at Bolloré Logistics, our people's actions are guided by our core values - Humility, Excellence, Courage, Agility & Innovation and Solidarity.

We believe it's the people who brought us to where we are right now, and it'll be the people who propel us to greater heights.

We invite you to join our diverse team on our journey to becoming Global Top 5 in the coming years.

About the role
The Innovation team overseas and supports various innovation projects throughout Bolloré Logistics.

As part of this team, the Innovation will be stationed in B.Lab, which is one of the two innovation labs of Bolloré Logistics and will have the opportunity to explore time series, machine learning and AI specific solutions for the Logistics Industry.

This 6-month full-time internship will commence July/August 2024.

What you will be doing

Explore and implement new and current AI trends (eg. Large language models) to meet business and operational needs
Explore time series models to provide forecasting models for business need
Engage in critical design thinking and recommend process improvements

Requirements:

The successful applicant

Essential

University undergraduate or graduate in Data Analytics / Business Analytics / Statistics / Data Science or related fields
Excellent interpersonal communication skills to support working in a projectbased environment
Strong analytical and problemsolving abilities
Good knowledge in programming languages (Python, R etc)

Desirable