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Data Analyst/Data Scientist - Project and Portfolio Management - job 2 of 2

Company Description

Syngenta 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.

Our 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.

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.

      Average salary estimate

      $70000 / YEARLY (est.)
      min
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      $60000K
      $80000K

      If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

      What You Should Know About Data Analyst/Data Scientist - Project and Portfolio Management, Syngenta Group

      At Syngenta Crop Protection, we are not just leaders in agricultural innovation; we are also dedicated to building a sustainable future through data-driven insights. As a Data Analyst/Data Scientist specializing in Project and Portfolio Management, you'll be an integral part of our Digital & Analytics team, based in the vibrant area of Bracknell, United Kingdom. In this hybrid role, your expertise will guide strategic decision-making, enhance productivity, and maximize the value we create from our portfolio. You'll dive deep into complex project and portfolio data, developing statistical and AI/ML models that pave the way for smarter future scenarios. Your knack for data visualization and advanced analytics will enable you to turn intricate data sets into clear, actionable insights, supporting our mission to improve agriculture globally. Whether you're enhancing data quality, innovating data capture methods, or collaborating with an international team of experts, your daily work will contribute to meaningful changes in the agribusiness sector. If you thrive in an environment that encourages creativity and critical thinking, where your skills in machine learning and natural language processing can really shine, then Syngenta Crop Protection is the place for you. We welcome you to join us in this exciting journey as we unlock the potential of our portfolio and help nurture the planet’s resources efficiently and sustainably.

      Frequently Asked Questions (FAQs) for Data Analyst/Data Scientist - Project and Portfolio Management Role at Syngenta Group
      What are the responsibilities of a Data Analyst/Data Scientist at Syngenta Crop Protection?

      As a Data Analyst/Data Scientist at Syngenta Crop Protection, you'll play a crucial role in project and portfolio management. Your primary responsibilities include developing statistical and AI/ML models, performing data analysis to generate actionable insights, and enhancing the quality of project data. You'll also support the global teams in utilizing portfolio management tools and contribute to digital transformation initiatives that optimize data capture and analysis methodologies.

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      What qualifications do I need to apply for the Data Analyst/Data Scientist position at Syngenta Crop Protection?

      To apply for the Data Analyst/Data Scientist position at Syngenta Crop Protection, you should ideally have an advanced degree in a relevant field such as Data Science, Statistics, or a STEM discipline. Additionally, you will need experience in project and portfolio management analytics, particularly within industries like agrochemical or life sciences. Proficiency in programming languages like SQL and Python as well as knowledge of machine learning techniques will strengthen your application.

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      How does Syngenta Crop Protection foster innovation within the Data Analyst/Data Scientist role?

      At Syngenta Crop Protection, innovation is at the heart of the Data Analyst/Data Scientist role. You'll have the opportunity to apply cutting-edge data science algorithms, participate in projects that challenge the status quo, and contribute to developing new methodologies for data analysis. By collaborating with a diverse team of experts, you will help to drive digital transformation, ensuring we remain leaders in agricultural innovation.

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      What skills are important for success as a Data Analyst/Data Scientist at Syngenta Crop Protection?

      Success as a Data Analyst/Data Scientist at Syngenta Crop Protection hinges on strong analytical and problem-solving skills. Familiarity with advanced analytics tools, data visualization, and proficiency in machine learning frameworks is essential. Additionally, excellent collaboration and communication skills are important, allowing you to effectively translate complex data into actionable insights for stakeholders at all levels. A proactive attitude and the ability to navigate ambiguity will also serve you well.

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      Can I work remotely as a Data Analyst/Data Scientist with Syngenta Crop Protection?

      Yes, Syngenta Crop Protection offers hybrid working options for the Data Analyst/Data Scientist role. This means you'll have the flexibility to work from home while also collaborating with your team in Bracknell. Our flexible working environment aims to support a healthy work-life balance, allowing you to contribute effectively while accommodating your personal needs.

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      Common Interview Questions for Data Analyst/Data Scientist - Project and Portfolio Management
      Can you explain your experience with project and portfolio management analytics?

      When answering this question, focus on specific projects where you applied analytical methods in project and portfolio management. Describe the tools you used, the outcomes achieved, and how your work impacted decision-making processes.

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      How do you approach data visualization in your analytics work?

      Share your methods for simplifying complex data into visual formats. Mention specific tools you've used, such as QlikSense, and give an example of a successful data visualization project that clearly communicated insights to stakeholders.

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      What machine learning techniques are you familiar with, and how have you applied them?

      Highlight your experience with various machine learning techniques relevant to the role, such as regression analysis, supervised learning, or clustering. Provide examples of projects where your machine learning skills led to significant insights or improvements in analytics.

      Join Rise to see the full answer
      Describe a time when you had to collaborate with a diverse team across different geographies.

      Share a specific example that demonstrates your ability to work in a culturally diverse environment. Emphasize your communication techniques, tools used for collaboration, and how you overcame geographical challenges to achieve common goals.

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      How do you ensure data quality in your analyses?

      Explain your approach to maintaining data integrity by discussing validation techniques and cleaning processes. Provide an example of a situation where you identified and resolved data quality issues, driving successful outcomes.

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      What motivates you to work with new technologies in data science?

      Discuss your passion for technology and learning. Share experiences where you embraced new tools or algorithms that enhanced your analyses. Highlight how this motivation aligns with Syngenta's commitment to innovation.

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      How do you translate complex data insights into business-oriented actions?

      Share a scenario where you successfully communicated intricate data findings to non-technical stakeholders. Emphasize the importance of understanding your audience and tailoring your presentation to drive actionable decisions.

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      Can you discuss a challenging project you worked on and how you managed it?

      Choose a project that posed significant challenges, detailing your strategies for overcoming obstacles. Focus on your problem-solving skills, adaptability, and the lessons learned that benefited your future work.

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      What experience do you have with Natural Language Processing or Generative AI?

      Discuss any relevant projects or coursework involving NLP or Generative AI. Highlight the techniques you used and the outcomes achieved, underscoring your understanding of these cutting-edge technologies and their application in data science.

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      Why do you see yourself as a good fit for the Data Analyst/Data Scientist role at Syngenta Crop Protection?

      Articulate your unique skills, experiences, and values that align with Syngenta's mission. Highlight your passion for sustainability in agriculture and how your analytical expertise can contribute to impactful agricultural solutions.

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      Full-time, hybrid
      DATE POSTED
      January 28, 2025

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