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Data Scientist at Syngenta — Pune/Pimpri-Chinchwad Area

Experience3–5 yrs
SalaryNot disclosed
Work modeonsite
Posted1 Oct 2026

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About Syngenta

Syngenta is hiring in Pune/Pimpri-Chinchwad Area in agriculture food. This role looks for around 3+ years of experience.

Skills

Python
scikit-learn
TensorFlow
PyTorch
pandas
NumPy
SQL
AWS
Azure
Databricks
Git
CI/CD
machine learning
MLOps
model monitoring
predictive modeling

The role

A data scientist at an agricultural technology company builds predictive models and leads data science projects using machine learning, MLOps, and cloud data platforms. The role applies Python, SQL, and model monitoring to production analytics and commercial decision-making.

Full job description

Company Description

At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.

Job Description

Position Summary:

Lead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity.Serve as technical lead for data science squads — driving architecture decisions, code quality standards, and delivery excellence across the team.Bridge business and technical teams by translating complex analytical findings into clear, actionable insights that influence strategic decisions.Foster a culture of continuous learning by mentoring data scientists, promoting best practices in MLOps, and championing innovation in analytical methods

Accountabilities

Model Development & Analytics Leadership

Build and deploy predictive models and analytics capabilities, leading technical workstreams independentlyPerform advanced data analysis and EDA to develop fact-based insights and strategic recommendationsLead integration of traditional and nontraditional data sources into production analytical workflowsDrive integration of structured and unstructured data sources into robust, scalable analytical pipelines.

Platform and MLOps

Architect and maintain ML infrastructure using cloud platforms (Databricks, AWS, Azure) and orchestration tools.Implement CI/CD practices for model deployment, versioning, and automated retraining pipelines.Establish model monitoring, drift detection, and performance tracking frameworks in production.Promote reusable components, shared libraries, and standardised development environments across the team.

Leadership & Stakeholder Management

Act as technical point of contact for stakeholders — translating business problems into clear data science problem statements.Lead cross-functional working groups with business owners, data engineers, and domain experts.Mentor and develop junior and mid-level data scientists through code reviews, knowledge sessions, and project coaching.Facilitate agile ceremonies (sprint planning, retrospectives, technical demos) and hold the team accountable to delivery commitments.

Strategic Contribution

Identify and prioritise high-impact AI/ML opportunities across Commercial domains (Marketing, Sales, Pricing).Build and share domain expertise, contributing to the development of team capability roadmaps.Influence tooling and platform strategy decisions based on emerging best practices and business requirements.Drive measurable business outcomes — framing model outputs in terms of ROI, efficiency gains, or revenue impact.

Qualifications

Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Master's preferred)3-5 years professional experience delivering production data science solutionsProven track record leading analytical projects with measurable business impactAdvanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy)Strong SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)Experience with ML frameworks, version control (Git), and CI/CD for model deploymentDemonstrated leadership through mentoring, technical presentations, or cross-functional project ownership

Additional Information

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.