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As a key member of the Data Science Hub Europe you will be part of a team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts and engineers to build, scale and operate our machine learning & analytics platform. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.
In this role you will:
In this role you will:
- Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
- Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
- Write well-designed, testable, efficient code
- Work closely with data engineering to continuously improve the way we consume data and deploy models in production
- Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
- Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies
- 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models, with focus on support for data scientists / researchers (i.e. not focusing on research / modelling work oneself)
- Business-ready command of English and Polish, written and spoken
- Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
- Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
- Proven experience with software development best practices including testing, continuous integration, and DevOps tools
- Good understanding of data science lifecycle and the way data scientists work to deliver value
- Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
- Attention to clarity of code, ease of development, and correctness of implementations
- Experience in productionizing ML tools involving a user interface, e.g. Streamlit, Dash, Shiny R,
- Experience in Azure cloud resource setup for purposes of data solutions
- Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
- Practice in coaching / mentoring younger team members in your expertise areas
- Full-time employment contract
- Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
- Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
- Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
- Support in building your ML / data ops skills and portfolio through participation and presenting at conferences and events
- Opportunities to develop further in our Data Science Hub as well as in the international organization
- Competitive benefits package: private medical care LuxMed, life insurance, Pension Fund, Social Fund, Multisport card, discounts in the canteen and Nestlé boutique, free parking
- Additional 2 days of annual leave – granted to employees who fully use their annual leave entitlement within a given calendar year.
- Bonus system
- Benefits for parents: welcome gift upon the birth of a child, fathers can count on an additional day off for this occasion; for the father or Second Carer, we provide an additional 4-week fully paid leave; an additional day off for childcare until the child's 14th birthday.
- Interesting and challenging work in an international company a branch of worldwide and well recognized FMCG company
- Employee development programs and growth opportunities within the organization
- “DbajMY’ program supporting employees’ health and wellbeing
- Partially paid Sabbatical available after 7 years of service.
- Work atmosphere based on respect, cooperation and openness to diversity
- Opportunity to participate in Sustainability projects and join a community focused on creating sustainable solutions
Key Skills
Ranked by relevance
cloud
machine learning
devops
continuous integration
streamlit
python
scrum
cicd
git
sql
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- Posted
- May 23, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Warsaw
- Company
- Nestlé
Industries
Food
Beverage Services
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Science Specialist
2026-05-26
Full-time
Associate
Switzerland
Food
Engineering
View Job Details
Related
Senior Technology Specialist - Software Engineer (Golang Stream Lead)
2026-05-19
Full-time
Not Applicable
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Engineering
View Job Details
Related
Senior Technology Specialist - Software Engineer (Golang)
2026-05-19
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