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

Data Scientist...

Industry Analyst / Data Scientist - Market Growth & Financial Modelling

Credit Risk Analyst / Data Scientist

Credit Risk Analyst / Data Scientist

Credit Risk Analyst / Data Scientist

Credit Risk Analyst / Data Scientist

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 UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.