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🟢 Actively Hiring · Posted 25d ago ⏳ Closes in 66 days UK Corridor 🛡️ UK Work Eligibility 🏢 Company - Private

Modelling Scientist

Salary Range
£35,301 - £44,000
£2,942 - £3,667 / mo

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OP-VERIF-42E82BAB ✓ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match UK Work Eligibility

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Bracknell, England
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark
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Position Overview & Specifications

Company Description


Modelling Scientist

Jealotts Hill, United Kingdom OR Basel, Switzerland

(We are hiring several Modelling Scientist/ Senior Modelling Scientist who can be based in either Jealotts Hill, UK or Basel Switzerland)

About Syngenta:

Syngenta is a leading agrochemicals company; dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 100 countries countries works together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects, and diseases as well as droughts and floods, heat, and cold. As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.


Job Description


Role Purpose:

Help drive the invention of safe and sustainable active ingredients and understand product performance through predictive modelling and biological data analysis.

About this Opportunity:

At Syngenta Crop Protection, there has been significant focus and investment in predictive science and digital transformation throughout our research and development pipeline. From exploiting new digital technologies in the lab to extracting maximum value from existing knowledge, data- and model-driven decision making are changing the way we do science and develop new solutions for sustainable food production.

The focus area for this role is to provide predictive modelling support to understand biological efficacy and other aspects of product performance in field trials and controlled environments.

Depending on the problem, you will use data-driven and/or mechanistic modelling approaches to understand complex factors such as environmental conditions, crop varieties, pests and transport processes in soil and the plant, and how they relate to endpoints such as crop yield and efficacy on the pest. Working alongside multidisciplinary project teams, you will identify opportunities where models can add value, investigate innovative approaches, and drive strategic initiatives to make better decisions more quickly. You will also provide guidance to other scientists on experimentation and better trial design for modelling purposes, and work with software developers to make model-based approaches scalable and easy to use for other scientists.

Building on your passion for science and innovation, you will join an active network of data experts and specialist data modelers at Syngenta to champion the use of predictive models and digital thinking.


Qualifications
  • Strong academic foundation in predictive modelling to postgraduate level in the Natural Sciences (e.g. ecology, env. science, biology, chemistry)"
  • Knowledge of relevant data-science, analytics and modelling tooling (e.g. Python, R, Matlab, etc.)
  • Scientific domain knowledge in relevant field such as biology, chemistry, environmental science etc.
  • Ability to acquire domain knowledge in adjacent scientific areas to effectively work across internal teams and quickly get up to speed with existing modelling opportunities
  • Experience in developing models relevant to biological outcomes (e.g., ecological modelling, ecotoxicology, environmental fate, epidemiology, disease modelling, PKPD)
  • Strong analytical thinking and problem-solving skills, adaptability to different business challenges and data sources, as well as curiosity and openness to new solutions.

Additional Information


In return for your skills and knowledge Syngenta will offer:

  • Competitive benefits package including opportunities for flexible working.
  • Up to 31.5 days annual holiday.
  • Interaction with external researchers and opportunities to represent Syngenta in research networks, collaborations and conferences.
  • Good onsite facilities including a staff restaurant, a gym and fitness classes.
  • Campus environment based at Jealott’s Hill located in the Berkshire countryside between Bracknell and Maidenhead.
  • Great opportunities for personal and career development.
  • A modern, stimulating and dynamic working environment which promotes diversity and inclusion, scientific excellence and collaboration.
  • A job and responsibilities with purpose at state-of-the-art facilities within a world class R&D campus site.

We embrace and encourage diversity, and this is what drives our innovation and lets us outperform the market. https://www.syngenta.com/careers/working-syngenta/diversity-and-inclusion

Did you know? Syngenta has been ranked as a top employer by Science Journal.

#LI-KD1

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

🇬🇧 Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.

🏛️ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

⚖️ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Crop Production

Recruitment Insights

Based on transatlantic hiring benchmarks for Modelling Scientist roles across Syngenta Crop Protection's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Crop Production.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked £35,301 - £44,000 bracket, including retirement vesting and health parity.

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Hiring Organization
Syngenta Crop Protection

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