Data & Analytics Engineer (Production) (CZ/PL) w Nowy Dwór Mazowiecki, Polska

As Full-Stack Data Scientist Production within our Factory of the Future (FotF) digital program , you play a key role in transforming our manufacturing processes through data-driven innovation and machine learning . Based in the Group Data & Analytics team, you work together with our cross-functional FotF team at the intersection of IT, OT and plant operations - collaborating with production teams across our business units to bring Industry 4.0 to life.

Together, we are building a future-proof, highly efficient and sustainable production environment . You work end-to-end, from raw process data and model to a working solution on the line , combining advanced analytics and machine learning with real-world factory impact . This role offers a unique opportunity to work across a variety of domains, from energy efficiency and product quality to line capacity and planning .

Your journey starts on one of our production lines, where you will gain first-hand understanding of our production processes . You will then build the skills needed in bakery food technology , as well as in our data platform and ways of working . After an initial onboarding period of around three months, you will be ready to make an impact .

• Bridge strategy and operations: You translate boardroom ambitions into actionable insights and smart solutions on the shop floor, boosting plant productivity through data analytics and machine learning.
• Collaborate across disciplines: You work in a dynamic, cross-functional FotF team (4-8 experts), alongside automation engineers, food technologists and operators on the shop floor, to unlock improvements in areas such as energy efficiency, product quality and line capacity.
• Build real-time decision support: You design and implement AI-driven advisory systems, from data to final solution, that guide operational decisions - using visualisation tools such as Grafana and Power BI, or by directly interfacing with control systems.
• Solve complex industry challenges: You dive deep into the complexities of the baking industry, one of the most demanding food production processes, and develop innovative, data-based solutions to enhance performance and sustainability.
• Innovate with external partners: You collaborate with equipment suppliers, startups and academic institutions to co-create breakthrough solutions, such as advanced visual control systems.
• Engage with internal stakeholders: You actively listen to and engage with plant managers, operators, analysts and IT specialists - understanding business needs, sharing knowledge and aligning on process improvements, implementation and solution architecture.
• Contribute and coordinate: You support international digital projects within the FotF program, ensuring alignment on deliverables, milestones, risks and resource planning. As Full-Stack Data Scientist Production you report directly to the AI Engineering and Data Science Lead.
• You hold at least a Master’s degree in a relevant discipline such as industrial automation, computer science, applied statistics, mathematics, engineering or machine learning , and your academic background combines engineering with data science .
• You have at least 3 years of experience applying advanced analytics in a manufacturing context , and you have a passion for food production and Industry 4.0 , including an understanding of manufacturing processes and technologies such as vision systems .
• You have strong coding skills in Python and SQL , a solid foundation in software design principles and the ability to write clean and efficient code , combined with experience in cloud environments (preferably Azure) and familiarity with Databricks .
• You are able to advise on and apply state-of-the-art analytics, machine learning and optimisation techniques in a manufacturing context.
• You are experienced in data engineering for manufacturing data and in preparing datasets for predictive modelling , including data cleaning, feature engineering and data enrichment .
• You have experience deploying ML models into production and working with MLOps practices .
• You are skilled in visualising insights for both operators (Grafana) and management (Power BI) .
• You are a creative production problem-solver with a pragmatic, solution-oriented mindset , motivated by achieving tangible business impact on factory performance .
• You are an effective communicator and collaborator , comfortable engaging with stakeholders from shop floor to senior leadership and translating complex analysis into actionable insights .
• Working with AI tools is second nature to you and you actively use them to increase your own productivity and that of the team.
• You are willing to travel, primarily within Europe , for short or longer-term assignments.
• You communicate fluently in English ; Czech or Polish are also required depending on the location you apply for.
• You join an international family business with a strong long-term vision , where more than 5.000 enthusiastic colleagues go for it together, driven by 5 strong values .

You become part of a growing Data & Analytics organisation that is building a modern data platform , with room for training, certification and close collaboration with strong business domains .

You work on solutions with visible impact on our international production performance - from energy efficiency and product quality to line capacity, planning and sustainability .

You get the opportunity to shape the digital transformation of one of the most complex and fascinating food production domains, together with equipment suppliers, startups and academic partners .

We invest in a happy working environment through various sports and team events.

You can literally taste our passion every day , through our fresh and innovative top products.

You help build a better world : baking a better world together, and sustainability is high on our agenda .

You get the chance 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 , complemented include private healthcare, group life insurance, sports and cultural benefit cards, holiday allowance, prepaid holiday gift cards, and subsidized meals in the company cafeteria .

You get the space to roll up your own sleeves, take initiative and help make the difference .

Don't meet every requirement? That's okay.

We're looking for passionate people ready to grow with us. If you're excited by the challenge and motivated to make a difference, we'll provide the training and support to help you succeed.