Job Description

Syngenta Crop Protection Project and Portfolio Management (CP R&D PPM) is seeking a passionate and skilled Data Analyst/Scientist to join our dynamic Digital & Analytics team. This hybrid role in Data Analysis/Data Science places you at the forefront of data and AI-driven project and portfolio management, driving strategic decision-making, unlocking productivity and efficiency gains, and maximizing portfolio value creation. 

As a specialist in the PPM team, you will be instrumental in generating insights through project and portfolio data management and analysis. You will develop statistical, and AI/ML models based on current and historical data and enable scenario testing for predicted outcomes. Your role will support the use of portfolio and project management tools, enhance data quality, and extract value from diverse data sources. Additionally, you will contribute to digital transformation by applying new technologies and innovating data capture and analysis methodologies. 

Furthermore, you will leverage both business acumen and technological expertise to challenge the status quo of PPM decision analyses, fostering a culture of innovation and continuous improvement. 

If you are motivated by the opportunity to develop and support descriptive and predictive portfolio analytics workflows, collaborate with global stakeholders, and continuously improve data-analysis methods, this role is for you. Join us in shaping the future of sustainable and value-driven portfolio management at Syngenta. 

What We Are Looking For 

• Advanced Degree in a relevant field (STEM, Data Science, Statistics, Computer Science, IT, etc.), or equivalent experience. 
• Experience in project and portfolio management and analytics, preferably within a related industry (Agrochemical, Life Sciences, Pharma, etc.). 
• In-depth Knowledge of data visualization, advanced analytics methods, tools, and programming languages (e.g., QlikSense, SQL, Python), probabilistic modeling (Monte Carlo, Efficient Frontier, etc.), and Data Science with exposure to cloud services. 
• Machine Learning Experience is required; knowledge and experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs) - including techniques such as Retrieval-Augmented Generation (RAG) and Prompt Engineering - is highly desired. 
• Interest in New Technology, with critical thinking and a passion for cutting-edge data science algorithms in portfolio analytics, with a deep appreciation of the value and opportunities in predictive science and digital. 
• Excellent Collaboration and Communication Skills across all levels of seniority and multiple geographies. 
• Ability to Translate Complex Data into business-oriented value. 
• Proactive and Autonomous work ethic, capable of regularly dealing with ambiguity, complexity, and uncertainty. 

Qualifications

Additional Information

We could consider candidates based at a number of our sites in Europe including Bracknell (UK), Madrid (Spain), Budapest (Hungary), Warsaw (Poland) or Milan (Italy).

What we offer

• Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance (package dependent on contracted country).
• Flexible & Hybrid working
• We offer a position which contributes to valuable and impactful work in a stimulating and international environment.  
• The opportunity to develop and apply your science within the chemical industry.
• The chance to work as part of a global team to address the current and future needs of the agricultural sector.
• Learning culture and wide range of training options.

Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.

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. Learn more about our D&I initiatives here: https://www.syngenta.com/careers/working-syngenta/diversity-and-inclusion

We are committed to making all stages of our recruitment process accessible to all candidates. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we can to support you.