Machine Learning & Operations Research Specialist
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Machine Learning & Operations Research Specialist
Location
BRUSSEL, BE
Experience
Mid
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
####
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
#Bpost #Bnode
Key Responsibilities
- Design, prototype, and industrialize analytical solutions for operational and tactical decisions.
- Build robust decision-support tools such as forecasting and optimization models.
- Ensure models are deployed, monitored, and used in real operations.
- Collaborate with operational stakeholders and IT teams to turn business problems into scalable solutions.
- Increase analytics maturity by moving use cases from ad hoc analysis to robust, reusable products.
Requirements
- Master’s or PhD degree in Computer Science
- Engineering
- or a related field
- or equivalent practical experience
Skills Required
PythonSQLpandasNumPyscikit-learnXGBoostLightGBMtime series modelsOR-ToolsGurobiGitAirflowDockerCI/CDMLflowDVCWeights & BiasesConveyorDatabricksSparkSnowflakeLLM-based applicationsAI agentsAbility to translate business needs into pragmatic analytical solutionsInterest in logistics, supply chain, and physical network decision-makingFrenchDutch
Benefits
- Competitive monthly salary
- Meal vouchers
- Hospitalization insurance
- Group insurance
- Disability insurance
- Phone subscription with 25GB data
- Flexible remuneration plan
- Company car
- Bike leasing
- Public transportation benefits
- Federal Mobility plan
- Flexible working hours
- Remote work option
- 20 days statutory leave
- 7 additional extralegal days off
- End-of-year bonus
- Performance-based bonus
- Double holiday pay
- Partner benefits
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