Machine Learning & Operations Research Specialist

Bpost; Brussel Hoofdstad; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Insurance

Phone plan

Flexible compensation plan

Company car/bike leasing

Mobility plan

Work from home

Annual bonus

Résumé du poste

bpost is seeking a Data Scientist / Operations Research Specialist to design, prototype and industrialize analytical solutions that drive decisions across its network in Belgium. You will build forecasting and optimization models and ensure they are deployed and monitored in production, working with stakeholders and IT teams to deliver scalable, reusable analytics products.

The role requires 5+ years in ML and OR, plus production deployment experience, with English fluency; French/Dutch are a

Qualifications

• 5+ years of experience using both machine learning and operations research to solve real-world problems.
• 5+ years of experience designing, prototyping, deploying, and monitoring models in production environments.
• Ability to translate business needs into pragmatic analytical solutions.
• Interest in logistics, supply chain, and physical network decision-making.
• Master’s or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Full proficiency in English. French and Dutch are a strong plus.

Responsabilités

• Design, prototype and industrialize analytical solutions for operational and tactical decisions across Bpost’s network.
• Build robust decision-support tools such as forecasting and optimization models and ensure they are deployed and monitored in production.
• Work with operational stakeholders and IT teams to turn business problems into scalable, production-ready solutions.
• Help increase analytics maturity by moving use cases from ad hoc to reusable, business-embedded analytical products.

Connaissances

Machine Learning

Operations Research

Analytical problem solving

English proficiency

French

Dutch

Production deployment

Formation

Master's degree in CS/Engineering

PhD in CS/Engineering

Equivalent practical experience

Outils

Python

SQL

pandas

NumPy

scikit-learn

XGBoost

LightGBM

Time series

OR-Tools

Gurobi

Git

Airflow

Docker

CI/CD

MLflow

DVC

Weights & Biases

Databricks

Spark

Snowflake

LLM-based apps

Description du poste

bpost strives to create an inclusive environment with challenging projects and inspiring collaborations. With our colleagues at the heart of our organisation, we believe in careers rather than jobs. As part of the international group bnode, bpost has transitioned from the 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 foster 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?

Bpost is looking for a Data Scientist / Operations Research Specialist with proven experience building and industrializing machine learning and optimization solutions.

In Belgium, Bpost operates in a context of structural mail decline, continued parcel growth, increasing operational variability, and strong competitive pressure. Better forecasting and optimization are therefore key to improving service (quality) and network efficiency (cost) across sorting, transport and distribution.

In this role, you will design, prototype and industrialize analytical solutions that drive operational and tactical decisions across Bpost’s network. This includes building robust decision-support tools such as forecasting and optimization models, and ensuring they are deployed, monitored and used in real operations.

You will work closely with operational stakeholders and IT teams to turn business problems into scalable, production-ready solutions. You will also help increase the analytics maturity of Bpost by moving use cases from ad hoc analysis or prototype stage toward robust, reusable and business-embedded analytical products.

Who are you?

• At least 5 years of proven experience using both machine learning and operations research to solve real-world problems
• At least 5 years of proven experience designing, prototyping, deploying, and monitoring models in production environments
• Ability to translate business needs into pragmatic analytical solutions
• Interest in logistics, supply chain, and physical network decision-making
• Master’s or PhD degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Full proficiency in English. French and Dutch are a strong plus.

Tools & Technologies (Indicative Stack)

• Programming & analytics: Python, SQL, pandas, NumPy, scikit-learn
• ML & forecasting: XGBoost, LightGBM, time series models
• Optimization: OR-Tools, Gurobi or similar solvers
• Engineering: Git, Airflow, Docker, CI/CD tooling
• Versioning & experimentation: MLflow, DVC, Weights & Biases, or similar
• Platforms: Conveyor, Databricks, Spark, Snowflake-connected environments, or similar cloud-based platforms
• AI & agentic systems: familiarity with LLM-based applications, AI agents, orchestration frameworks, or similar emerging technologies for decision support and workflow automation

What We Provide

• The opportunity to create tangible impact at national scale by improving services that are used every day by millions of people, households, and businesses across Belgium
• High-visibility analytical challenges at the intersection of machine learning, optimization, and real-world operations

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