{"id":130210,"url":"https://alion.io/job/syngenta-group-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":4725,"name":"Syngenta Group","domain":"syngenta.com","url":"https://alion.io/company/syngenta-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":27,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":162000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-24T17:41:13Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-20T17:43:31Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"Bracknell, UK Employees can work remotely\nFull-time\nCompany Description\nSyngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.\nOur employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.\n Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist - Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making, working closely with multidisciplinary teams to generate robust insights and accelerate complex decisions. This role offers the opportunity to work autonomously on high-impact scientific challenges, influence modelling approaches and data strategy, and collaborate with experts across an international research environment.\nWhat you will do\nDevelop and validate predictive models based on historical, experimental and scientific data to support project and business decisions.\nPartner with multidisciplinary teams to support the discovery, optimisation and development of Crop Protection leads and product candidates.\nIntegrate and analyse data from different sources, including physical chemistry, biokinetic, environmental, laboratory, glasshouse and field-trial data.\nWork with scientists to understand complex problems and identify opportunities where predictive modelling can create value.\nProvide guidance on experimental and field-trial design to improve data quality and enable effective modelling.\nCollaborate with R&D IT and software development teams to build data connections and deploy analytical or customer-facing applications.\nInvestigate interdisciplinary and multiscale modelling approaches to address scientific challenges.\nMonitor relevant developments across industry, academia and technology providers, assessing new methods and tools for their potential application.\nCollaborate with external partners where relevant, integrating complementary expertise into projects and programmes.\nContribute to data strategy through the effective connection and use of internal and external scientific data sources.\nEstablish and track key performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact.\nMentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team.\nEnsure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer.\nCommunicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries.\nIn the first months, you will build strong internal partnerships and Crop Protection domain knowledge, support active-ingredient projects using established modelling methods, and identify opportunities to accelerate the impact of predictive science.\n**Essential**\nAdvanced academic background in Data Science, Machine Learning, Statistics, Mathematics, Physics or a related quantitative discipline; postgraduate education is strongly preferred\nDemonstrated experience developing machine-learning or predictive models for biological, scientific, agricultural, life-science or Crop Protection-related outcomes\nStrong knowledge of Python and relevant data science, analytics and modelling tools\nStrong understanding of model validation, robustness assessment and the interpretation of predictive-model performance\nExperience analysing complex datasets and translating findings into clear, actionable insights\nExperience collaborating with scientists, data scientists or technical specialists to solve complex problems\nStrong analytical thinking, creative problem-solving and intellectual curiosity\nAbility to work independently, manage priorities effectively and deliver work to a high standard of accuracy\nStrong communication skills, including data visualisation and storytelling for specialist and non-specialist audiences\nProfessional proficiency in English\n**Preferred**\nAcademic or professional experience in biology, chemistry, ecology, environmental science, biokinetics or related scientific domains\nExperience working with laboratory, field-trial, environmental or other complex scientific datasets\nExperience with interdisciplinary or multiscale modelling approaches\nExperience collaborating with external partners, vendors, academic institutions, or R&D IT teams on data platforms and analytical applications\n**Key Capabilities**\nAdaptability across different scientific questions, data types and analytical methods\nAbility to build trusted relationships and collaborate effectively across functions\nOwnership, customer focus and the ability to influence through technical expertise\n Site Details\nJealott's Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range.\nWhat we offer\nExtensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.\n\nUp to 31.5 days annual holiday.\n\nFlexible working\n\nWe offer a position which contributes to valuable and impactful work in a stimulating and international environment.\n\nThe opportunity to develop and apply your science within the chemical industry.\n\nThe chance to work as part of a global team to address the current and future needs of the agricultural sector.\n\nLearning culture and wide range of training options.\n\nSyngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.\nSyngenta 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","description_format":"text","description_chars":7117,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Flexible schedule","Life insurance"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Agricultural Biotechnology","Crop Protection","Seeds"],"lifecycle":[{"event":"open","at":"2026-08-24T17:41:13Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.384,"p_room":0.28,"age_days":56,"expected_fill_days":21,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/syngenta-group-senior-data-scientist-2","json_url":"https://alion.io/job/syngenta-group-senior-data-scientist-2.json","meta":{"generated_at":"2026-10-20T21:27:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24977,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4725},"rest":"https://alion.io/mcp/rest/get_company?id=4725"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsyngenta-group-senior-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsyngenta-group-senior-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsyngenta-group-senior-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/syngenta-group-senior-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsyngenta-group-senior-data-scientist-2"}]}