Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross-functional teams to translate complex data into actionable insights.
Responsibilities
- Lead the application of machine learning techniques (e.g., regression, classification, time-series forecasting) to solve complex business problems across domains such as product development and advanced analytics
- Own the preparation of complex datasets, including data cleaning, transformation, and structuring, to enable robust modeling and high‑quality analysis.
- Partner closely with domain experts and cross‑functional stakeholders to design, develop, and deliver impactful data science solutions aligned with business needs.
- Deploy and operationalize models in production environments, ensuring performance, reliability, and scalability, using platforms such as Azure ML, Databricks, and Snowflake.
- Monitor model performance and continuously optimize accuracy, robustness, and scalability over time.
- Translate analytical insights into clear visualizations and structured narratives, effectively communicating recommendations to both technical and non‑technical audiences.
Requirements
- Advanced degree (MSc or higher) in Data Science, Statistics, Computer Science, or a related field
- Extensive experience in data science within Life Sciences, Food, or Academia, applying agile development practices
- Proven track record in building and deploying predictive models in production
- Hands-on expertise with ML frameworks (TensorFlow, Keras, PyTorch, Scikit-learn) and statistical methods including Design of Experiments
- Familiarity with APIs (REST, JSON) and data visualization tools such as Power BI, PowerApps, and Streamlit
- Proficiency with cloud and data platforms including Azure, Databricks, Snowflake, and SQL databases.
- Ability to explain complex technical concepts to non-technical audience
- Strong collaboration skills, with experience working closely with cross-functional teams (scientists, sensory specialists, product developers)
- Highly autonomous and self‑driven, with strong problem‑solving capabilities
- Excellent communication skills in English.
Benefits
- Exciting opportunities to develop your career your way; across different brands, businesses, functions, and regions.
- Flexible working arrangements - facilitating creativity and collaboration
- A culture of respect, with diversity, equity and inclusion at its core.
- A dynamic international environment empowering you to learn, develop and grow.
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