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Our vacancies

Full-Stack Data Scientist - Supply Chain

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Ninove (Belgium)

Supply Chain & Warehousing

Permanent contract

Day

As a Full-Stack Data Scientist, you transform data into actionable solutions that optimize end-to-end supply chain performance. You collaborate closely with business stakeholders, analysts, IT, and data teams to develop scalable analytics and machine learning models across logistics, warehousing, planning, and customer operations. In this role, you tackle diverse challenges and create tangible impact on service levels, cost efficiency, availability, and overall customer experience.

The function

Translate supply chain needs into data-driven solutions that improve planning, forecasting, logistics, and operations.
Collaborate closely with supply chain, customer service, finance, IT, and data teams to deliver impactful insights and solutions.
Develop decision support tools such as dashboards, forecasting and optimization models, and AI-driven solutions (using Databricks, Python, SQL on Azure).
Work on real business questions such as demand forecasting, stock availability, delivery reliability, warehouse efficiency, route and logistics insights, service levels, and customer order behaviour.
Build scalable data products end-to-end: from data preparation and feature engineering to model development and monitoring.
Engage with stakeholders (planners, logistics, operations, IT) to understand needs, communicate insights clearly, and drive adoption.
Contribute to international supply chain data initiatives, helping coordinate priorities, deliverables, and implementation

Your profile

You hold a Master’s degree in Supply Chain, Computer Science, Applied Statistics, Mathematics, Machine Learning, or a related field.
You bring hands-on experience in data science, analytics, or data engineering within a business context: supply chain experience is a strong plus.
You have a strong interest in supply chain topics such as logistics, warehousing, planning, forecasting, inventory management, and customer operations.
You have solid programming skills in Python and SQL, with experience in cloud environments (preferably Azure) and familiarity with Databricks.
You understand software design principles and can write clean, efficient, and scalable code.
You are able to apply analytics, machine learning, forecasting, and optimization techniques to solve real business problems.
You are a pragmatic problem-solver and effective communicator, capable of translating complex insights into actionable outcomes and collaborating with stakeholders at all levels.
You communicate fluently in Dutch and English.
You are willing to travel (primarily within Europe)

Our offer

You will join an international family-owned company with a strong long-term vision, where more than 5,700 enthusiastic colleagues work together and are driven by five strong values.
We invest in a happy working environment through various sports and team events.
Every day, you can literally taste our passion through our fresh and innovative top-quality products.
You will help build a better world, as sustainability is high on the agenda within our company.
You will have the opportunity to grow and develop in a highly dynamic environment. Our LLBG Academy supports you in becoming the best version of yourself.
An attractive financial package, supplemented with one day of working from home, meal vouchers, hospitalization insurance, group insurance, a company car, and 10 extra vacation days on top of the statutory leave.
You will be given the space to roll up your sleeves, take initiative, and help make a real difference.

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About LLBG

La Lorraine Bakery Group (LLBG) is an international family-owned company headquartered in Belgium with more than 85 years of experience in the milling and bakery sector. More than 5,700 passionate employees produce and sell high-quality bakery products to consumers, retailers and foodservice professionals in over 40 countries every day. They do so with respect for people, product and planet, because at LLBG we want our company and our people to grow in a sustainable way.