Syngenta Group: Data Scientist — Pune, ASIA, India

About Syngenta Group

Syngenta Group works in agricultural technology and crop-related innovation. Its employer descriptions connect scientific development and crop solutions with helping farmers use resources effectively and improve how crops are grown. Material from its vegetables-and-flowers business also identifies seed breeding for different climates and horticultural needs. Across these activities, the stated business purpose links agricultural production with resource use and environmental concerns, bringing scientific and technological work to practical farming and growing conditions.

The position and its setting

Syngenta Group lists Data Scientist in Pune, ASIA, India, under reference 18075914. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: IT & Digital
• Employment type: Full-time
• Employer listing date: 1 October 2026
• Brands: Syngenta Group

Responsibilities and work described

• Position Summary:
• Leadership: 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
• Model Development & Analytics Leadership
• Building: and deploy predictive models and analytics capabilities, leading technical workstreams independently
• Execution: advanced data analysis and EDA to develop fact-based insights and strategic recommendations
• Leadership: integration of traditional and nontraditional data sources into production analytical workflows
• Drive integration of structured and unstructured data sources into robust, scalable analytical pipelines
• Platform and MLOps
• Architecture: and maintain ML infrastructure using cloud platforms (Databricks, AWS, Azure) and orchestration tools
• Implementation: CI/CD practices for model deployment, versioning, and automated retraining pipelines
• Establishment: 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

Essential requirements and candidate background

• 3-5 years professional experience delivering production data science solutions
• Track record leading analytical projects with measurable business impact
• Advanced proficiency with Python ecosystem (scikit-learn, TensorFlow/PyTorch, pandas, numpy)
• SQL skills and experience with cloud data platforms (AWS, Azure, Databricks)
• Experience: ML frameworks, version control (Git), and CI/CD for model deployment
• Demonstrated leadership through mentoring, technical presentations, or cross-functional project ownership

Education and qualification routes

• Degree / qualification: Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related quantitative field (Master's preferred)

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Pune, ASIA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Scientist vacancy is not an offer for reference 18075914; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Syngenta Group

Applications follow the official employer page linked below.

Open the official Syngenta Group posting below and match the title and reference 18075914.

Compare your qualifications and experience with the essential conditions for the Pune, ASIA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• CI/CD
• AWS
• Azure
• AI/ML
• data analysis
• AI
• sales
• marketing
• stakeholder management