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bpost

Network & Optimization Analytics Manager

Hybrid

Brussels, Belgium

Mid level

Full Time

31-10-2025

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Skills

Python Statistical Analysis Data Engineering Research Coaching Machine Learning Programming Organization cloud platforms Analytics Data Science Mathematics

Job Specifications

bpostgroup strives to create an inclusive environment with challenging projects and inspiring collaborations. With our employees at the heart of our organization, we don’t believe in jobs, we believe in careers. bpostgroup is evolving from a Belgian postal operator to a regional and digital expert in parcel size logistics. With a focus on social and environmental sustainability, our people are the foundation of everything we do. We believe in fostering a culture that supports diversity, inclusion, and career growth—ensuring that every team member has the opportunity to thrive and succeed. What will you do?

You are responsible for the development and implementation of advanced data science and machine learning models to optimize operational and logistical processes within the bpost network.
You contribute to building predictive and optimization algorithms to address business challenges such as volume prediction, network design, dynamic routing, and resource planning.
You help define the strategic roadmap of data use cases, focusing on initiatives that create maximum value for the organization.
You translate complex data analyses into clear insights and recommendations for both technical and non-technical stakeholders.
You lead a team of data scientists and analysts, ensuring knowledge sharing and professional growth within the team.
You work closely with business and IT teams to integrate data science solutions into bpost’s operational systems.
You are the driving force behind innovative projects involving data, AI, and machine learning, with a focus on value creation for bpost.
You act as an ambassador of a data-driven culture within the organization and serve as a strategic sparring partner for key projects.

Who are you?

You hold a master’s degree, engineering degree, or PhD in data science, operational research, applied mathematics, statistics, computer science, or a similar field.
You have at least 5 years of experience in data science, machine learning, or advanced analytics, preferably in a logistics or industrial context.
You have excellent experience in people management, particularly in leading and coaching a team of data scientists or analysts.
You have strong expertise in data engineering, machine learning, and statistical analysis, and a good knowledge of Python. Knowledge of other programming languages and technologies is a plus.
You are familiar with various cloud platforms.
You have a strong analytical mindset and are able to translate complex analyses into understandable business insights and recommendations.
You communicate fluently in Dutch, French, and English.

What do we offer?

Like a Long-awaited Parcel, We Want To Make You Feel Welcome And Valued. Our Offer Includes a Competitive Monthly Salary, That Goes Without Saying. On Top Of That, You Can Count On

Meal vouchers of €8 per working day
Hospitalization-, group- and disability insurances
A phone subscription, including 25GB data
A flexible renumeration plan, which allows you to customize your own benefits. A company car, bike leasing, public transportation, extra days off,... the choice is yours
Possibility to enter the Federal Mobility plan
Work/life balance, thanks to flexible working hours and the possibility to work from home
20 days of statutory leave and 7 additional extralegal days off
An end-of-year and performance-based bonus and double holiday pay
Many benefits from more than 100 bpost-partners

About the Company

bpost creates real connections between people, businesses and communities. We're not just moving letters and parcels around, but we want to deliver personal service at every doorstep. It's an important job, and we aim to do it better every day. That's why we constantly keep improving our products and services. Needless to say, bpost is always on the move. Our employees come across challenging projects, inspiring collaborations and the latest technologies. At the same time, they have access to exciting job opportunities and... Know more