Data AnalystData Scientist - Project and Portfolio Management
Data AnalystData Scientist - Project and Portfolio Management
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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 AIdriven project and portfolio management driving strategic decisionmaking 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 dataanalysis methods this role is for you. Join us in shaping the future of sustainable and valuedriven portfolio management at Syngenta.
What We Are Looking For
- Advanced Degreein a relevant field (STEM Data Science Statistics Computer Science IT etc.) or equivalent experience.
- Experiencein project and portfolio management and analytics preferably within a related industry (Agrochemical Life Sciences Pharma etc.).
- Indepth Knowledgeof 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 Experienceis required; knowledge and experience in Natural Language Processing (NLP) Generative AI and Large Language Models (LLMs) including techniques such as RetrievalAugmented Generation (RAG) and Prompt Engineering is highly desired.
- Interest in New Technology with critical thinking and a passion for cuttingedge data science algorithms in portfolio analytics with a deep appreciation of the value and opportunities in predictive science and digital.
- Excellent Collaboration and Communication Skillsacross all levels of seniority and multiple geographies.
- Ability to Translate Complex Datainto businessoriented value.
- Proactive and Autonomouswork 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:
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.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
