Data Science Manager

Bunge Iberica SA; Warszawa; On-site; PLN 320,000 - 540,000; Full time

Job summary

Bunge Iberica SA in Warsaw is seeking a Data Science Manager to lead a team of data scientists, engineers and ML engineers. You will develop data-driven solutions addressing commercial analytics, partner with cross-functional teams to identify analytics initiatives, and ensure scalable, value-driven outcomes.

The role requires strong ML, math, and programming expertise, plus experience guiding teams and communicating insights to business leaders.

Qualifications

• PhD or MS in STEM with years of experience in Data Science or Computer Science, IT or a related field.
• Strong foundations in math, analytics and computer science, knowledge of ML methods, statistical models, and advanced data science programming.
• 6-10 years of hands-on experience and fluency in Python and SQL; comfortable with bash.

Responsibilities

• Lead a team of data scientists, data engineers and ML engineers to develop data-driven solutions for commercial analytics.
• Drive design, development and documentation of reusable analytical solutions following data science best practices.
• Collaborate with cross-functional teams to identify and prioritize analytics initiatives; translate business problems into advanced analytics approaches.

Skills

Python

SQL

Data Science

Machine Learning

Leadership

Cloud

Education

PhD or MS in STEM

Tools

GCP

BigQuery

Docker

Kubernetes

Job description

Data Science Manager

Date: Jul 7, 2026

City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number: 44367

Overview:

We are seeking a highly motivated and experienced Data Science Manager, with strong expertise in commercial analytics and to join our growing team. As Data Science Manager, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.

Main Accountabilities

• Responsible for leading and creating an impactful portfolio of data science and data engineering projects in the space of commercial analytics


• Drive the design, development and documentation of reusable analytical solutions utilizing data science best practice


• Lead a team of Data Scientists and Data Engineers to build and deliver analytical solutions in a sustainable manner


• Be the point of contact for various stakeholders to understand business problems, propose solutions that are scalable and value-driven.


• Advice Business on how to structure the problems/hypotheses they want to address and convert it into a advanced analytics approach including machine learning and optimization components.


• Communicates the design, insights and value of the analytical solutions to a variety of audience, including key business leaders and technical communities


• Ensure timely deliverables and testing for regular maintenance of solutions over time


• Lead team with a culture of learning and coaching with a goal to elevate the technical acumen in evolving needs


• PhD or MS in STEM field with a combination of years of experience as in Data Science or Computer Science, IT or a related field.


• Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.


• 6-10 years of hands-on working experience and fluency in Python and SQL. Comfortable with scripting language such as bash.


• Experience leading or managing technical teams to drive development of analytical products.


• Experience writing reusable and maintainable code with version control and automation pipelines


• Ability to transform a project from POC to production.


• Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer.


• Experience working with customer analytics and pricing optimization, and / or domain knowledge in global agri-business and food industry.


• Creative and self-motivated. Demonstrate drive to learn new skills and influence others on the team to strive for collective progress.


• Act as a leader in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact.

Preferred Qualifications:

• Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration.


• Experience building and deploying resilient data and modeling pipelines in GCP environment


• Experience using Infrastructure as Code (IaC) such as Terradom


• Experience implementing Kubernetes and Docker (or similar container engine) solutions


• Obtained Google Cloud Professional certifications in area such as MLE, data engineer, DevOps engineer


• Experience leading and working with global teams across geographical time zones.

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

Every day our people exemplify these values, which represent Bunge at its core:

We Are One Team – Collaborative, Respectful, Inclusive
We Lead The Way – Agile, Empowered, Innovative
We Do What’s Right – Safety, Sustainability, With Integrity

If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge

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