Analytics & Data Science Lead

Purpose 

The Analytics & Data Science Lead is responsible for leading a team of Data Scientists driving the evolution and maturity of Data Science AI/ML capabilities to generate impactful insights and enable data-driven decision-making across corporate functions. This role acts as a key partner for our delivery squads and business stakeholders translating strategic needs into robust scalable and well-governed data science solutions. The incumbent will be accountable for the end-to-end design development deployment and user experience of advanced analytics and AI/ML products ensuring their successful implementation and demonstrable value realization. This includes acting as a functional Single Point of Contact (SPOC) for at least one corporate function leading dedicated data and analytics delivery squads to achieve business outcomes.

Accountabilities

Team Leadership & Capability Development:

• Drive the evolution and maturity of AI/ML capabilities within the Corporate Functions in close alignment with our central Data Science and AI teams.
• Lead mentor and manage a team of Data Scientists fostering a culture of innovation continuous learning and high performance.
• Establish and mature MLOps and ML Engineering capabilities both from a technical implementation and human capability standpoint to ensure robust scalable and maintainable AI/ML solutions.
• Champion the design of AI/ML-ready data products and pipelines optimized for consumption by Data Scientists and AI agents within a Data Mesh framework.

Strategic Partnership & Solution Delivery:

• Act as a functional Single Point of Contact (SPOC) for at least one corporate function leading dedicated Data & Analytics delivery squads.
• Engage with senior business stakeholders product owners and architects to understand strategic objectives define solution approaches and plan appropriate resourcing for Data Science and AI initiatives.
• Develop compelling business cases for new Data Science and AI projects or enhancements demonstrating clear value proposition and ROI.
• Lead the evaluation and selection of appropriate Data Science and AI technologies and methodologies ensuring alignment with long-term strategic needs and enterprise standards.

Technical Leadership & Governance:

• Oversee the end-to-end design development and deployment of advanced analytics and AI/ML products ensuring they are robust scalable secure and well-governed.
• Collaborate with design authorities and platform teams to ensure Data Science and AI solutions adhere to enterprise standards architectural best practices and security guidelines.

Qualifications & Experience

Professional Experience:

• 10 years of overall professional experience in Computer Science Data Science Advanced Analytics or AI/ML.
• 5 years in a leadership role managing Data Science or Analytics teams and driving capability maturity.
• Proven track record of successfully delivering impactful Data Science and AI solutions in a complex multi-national environment from conception to production and value realization.
• Significant experience in enabling data-driven decision making through advanced analytics and machine learning.
• Experience designing and implementing MLOps frameworks and ML Engineering best practices.
• Significant experience in corporate functional domains such as Finance HR Procurement or Legal is a plus.

Technical Expertise:

• AI/ML: Deep expertise in machine learning algorithms (supervised unsupervised reinforcement learning) statistical modelling predictive analytics and Generative AI / Agentic AI for Analytics purposes.
• Programming & Scripting: Proficient in Python (with libraries like scikit-learn TensorFlow PyTorch Pandas NumPy) and/or R.
• Data Platforms & Cloud: Strong experience with cloud platforms (e.g. AWS Azure GCP) and data technologies (e.g. Databricks Spark Sagemaker).
• MLOps & ML Engineering: Experience with tools and practices for model versioning deployment monitoring retraining and pipeline orchestration (e.g. MLflow).
• Data Management: Good understanding of data warehousing data lakes ETL/ELT processes feature stores and data governance principles.

Methodologies & Practices:

• Strong experience applying agile methodologies (Scrum Kanban) in project delivery.
• Solid understanding of data governance approaches data ethics and responsible AI principles.
• Experience with AI-Ready Architectures and Data Mesh principles.

Key Competencies:

• Strategic Thinking & Problem Solving: Ability to analyze and simplify complex business problems articulate trade-offs for informed decision-making and make appropriate recommendations for Data Science and AI solutions.
• Collaboration & Influence: Excellence in collaboration cross-functional expectation management and influencing senior stakeholders and technical teams.
• Business Acumen: Strong ability to translate complex business requirements into Data Science problems and deliver actionable insights.
• Stakeholder Engagement: Proven ability to collaborate with diverse teams build strong relationships and effectively communicate complex technical concepts to non-technical audiences.
• Innovation: Aptitude for researching emerging Data Science and AI technologies developing novel solutions and driving continuous improvement.
• Communication: Excellent written and verbal communication skills in English with strong presentation and meeting facilitation abilities.
• Drive for Outcomes: Ability to drive initiatives to successful completion operate hands-on when needed and focus on delivering measurable business value.

Qualifications :

Bachelors or Masters degree in Data Science Computer Science Statistics Applied Mathematics or a related quantitative field.

Additional Information :

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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Employment Type :

Full-time