Data Scientist

Syngenta; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Syngenta seeks a data science leader to drive predictive analytics, owning technical strategy and delivery for DS projects. You will guide DS squads, ensure code quality, and translate complex findings into actionable business insights for senior stakeholders.

You will mentor junior scientists, promote reusable components, and advance CI/CD and model monitoring across production pipelines in a cloud environment.

Qualifications

• Bachelor's degree in a quantitative field; master's preferred.
• 3–5 years delivering production data science solutions.
• Proven leadership with measurable business impact.
• Strong Python data science stack and cloud platforms.
• Experience with ML frameworks and CI/CD for models.

Responsibilities

• Lead DS and ML analytics projects, setting technical strategy and delivery.
• Mentor data scientists and promote best practices in MLOps.
• Translate analytics into actionable business insights for stakeholders.
• Build scalable data pipelines blending structured and unstructured data.

Skills

Python

SQL

Leadership

Mentoring

EDA

Education

Bachelor's degree

Master's preferred

Tools

Databricks

AWS

Azure

TensorFlow

PyTorch

scikit-learn

pandas

numpy

Git

CI/CD

Job 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.

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 independently
• Perform advanced data analysis and EDA to develop fact-based insights and strategic recommendations
• Lead 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

• 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 solutions
• Proven track record leading analytical projects with measurable business impact
• Advanced 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 deployment
• Demonstrated 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.