National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst/Data Scientist - Project and Portfolio Management

Syngenta Crop Protection
Bracknell
5 months ago
Applications closed

Related Jobs

View all jobs

Director, Artificial Intelligence & Data Ethics

Industry Analyst / Data Scientist - Market Growth & Financial Modelling

Data Scientist - Graduate

Forward Deployed Data Scientist

Forward Deployed Data Scientist

GIS Analyst

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.