Data Scientist

Role purpose:

• Lead and grow the P&S AMEA Data Science solution team to develop and deliver AI/ML products and solutions.
• Understand the P&S landscape of AMEA+ and comprehend the related data, analytics and forecasting needs from functions/teams within AMEA.
• Align AI/ML initiatives with business goals and ensure high-quality product delivery and business outcomes.
• Drive AI/ML innovation to solve business challenges.
• Spread the AI/ML awareness to drive Data Driven Culture in the organization.
• Foster collaboration across teams and departments.
• Mentor team members and promote skill development.

Stay ahead of AI/ML trends and technologies and mentor team members and promote capability development, knowledge sharing and ease of doing business.

Critical success factors & key challenges:

• Balance technical expertise with strong leadership skills.
• Translate complex AI concepts into business value.
• Manage multiple projects and priorities effectively.
• Adapt engineering processes and ways of working to rapidly evolving AI technologies and methodologies.
• Build and maintain cross-functional relationships.

Deliver measurable business impact through AI/ML solutions.

Knowledge, experience & capabilities:

• Minimum 5 years of hands-on experience in AI/ML development and implementation, with at least one major AI/ML product delivered as a lead.
•  At least 3 years in a product engineering leadership or management role, demonstrating progressive responsibility.
• Comprehensive knowledge of the AI/ML product lifecycle, including:
  • Data discovery and engineering
  • ML model development, training, and tuning
  • Inference and insights generation
  • Visualization and reporting
  • Implementation of feedback loops for continuous improvement
• Proven track record in project management, with proficiency in Agile methodologies.
• Experience working in diverse, multi-cultural environments, collaborating with both internal and external stakeholders.
• Familiarity with industry-specific AI/ML applications, preferably in agriculture or life sciences.
• Experience in mentoring and developing technical teams.

Demonstrated ability to translate complex AI/ML concepts into business value propositions.

Critical technical, professional and personal capabilities:

• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal abilities with team members, SMEs and other business/function leads.
• Ability to simplify complex technical concepts.
• Project planning and execution skills.
• Adaptability and quick learning of new technologies.
• Ability to work under pressure and meet deadlines.

Fluent in written & verbal English.

• Bachelor's degree in Data Science, AI/ML or in Computer Science/related field (Master's preferred) with relevant credentials in AI/ML.
• Deep understanding of AI/ML concepts, algorithms, and applications with knowledge of programming languages (Python, R, Java).
• Familiarity with ML frameworks and tools across the product design, engineering, testing, and delivery phases.
• Familiarity of production, supply chain and related business processes.

Note: 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, gender identity, marital or veteran status, disability, or any

other legally protected status.

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