R&D Analytics - AI Developer

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R&D Analytics - AI Developer in Others new

Syngenta Group
Full time
Email

Others
10/15/2026
Report

Amsterdam, Netherlands

Responsibilities

Design and build data pipelines supporting machine learning models and advanced analytics.
Develop AI solutions and analytical software integrating R&D-specific data, models, workflows, and decision frameworks.
Build containerized applications and orchestration in cloud environments.
Deploy and configure software in non-production and production environments.
Partner with R&D scientists, data scientists, and analytics teams to translate scientific and operational needs into scalable software.
Use AI-assisted development tools to improve delivery, code quality, documentation, and testing while maintaining engineering accountability.
Evaluate AI, agentic AI, and automation capabilities for R&D analytics, experimentation, and decision support.
Ensure solutions are scientifically valid, explainable where needed, reliable in production, and aligned with governance, security, and compliance expectations.

Requirements

Master’s or PhD in Data Science, Artificial Intelligence, Computer Science, Quantitative Genetics, or a related field.
At least five years of professional software engineering experience, including at least three years building and maintaining production systems in Python.
Strong Python programming and software engineering skills with experience designing, building, and maintaining end-to-end software solutions.
Experience with AI and machine learning frameworks, agentic AI, and large language models.
Experience with big data platforms such as Snowflake and Databricks.
Experience packaging, deploying, and monitoring machine learning models in production.
Proficiency developing cloud-native applications and deploying to cloud environments, especially AWS.
Experience with API technologies such as RESTful APIs or GraphQL.
Experience developing software products or analytical applications for scientific, R&D, agricultural, biological, or similarly complex data domains.
Ability to use AI coding assistants, enterprise AI platforms, or agentic AI tools while applying independent technical review, testing, and validation.
Familiarity with responsible AI practices, including model evaluation, bias and error assessment, traceability, prompt and version management, and human-in-the-loop workflows.

Benefits

The role may be based at any Syngenta site in the Netherlands and follows local hybrid-work guidelines.

Syngenta Group

Syngenta Group builds and sells seeds, crop‑protection products (herbicides, fungicides, insecticides), and digital agronomy tools that help farmers increase yields and manage risk. Its business spans R&D, manufacturing, and global distribution to growers and agricultural retailers, complemented ...

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