Senior Data Scientist

At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.

At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way.

We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.

Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting‑edge technologies to enhance decision‑making and automation.

• Advanced Analytics & Insights:
  Develop and implement data science solutions, leveraging advanced analytics to drive data‑driven decision‑making, optimise business performance, and support Consumer Insights & Analytics priorities.
• Data Analysis & Modeling:
  Analyse large and complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems using big data technologies like Databricks, Azure ML, and Apache Spark, as well as strong data visualization for structured storytelling to drive impactful business decisions.
• Developing Advanced Models:
  Design deep‑learning and natural language processing models to analyse complex data across business processes.
• Model Monitoring & Performance Optimization:
  Continuously track, evaluate, and refine deployed models to maintain accuracy and relevance over time.
• AI Research & Evaluation:
  Research, test, and evaluate AI technologies to ensure the best tools and platforms are used for achieving business objectives.
• Enhancing Analytical Capabilities:
  Integrate the latest data science innovations into product solutions, enhancing data, analytical, and automation capabilities.
• Cross‑Functional
  
  Collaboration:
  
  Work closely with cross‑functional teams and stakeholders to provide expertise across omnichannel analytical projects and ensure alignment with business goals.
• Tool Development & Maintenance:
  Build, maintain, and improve analytics tools to enhance capabilities and accelerate speed to value.

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field.
• 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, specialising in computer vision, natural language processing, or data synthesis.
• Experience developing and deploying advanced analytical models and algorithms.
• Experience applying machine learning techniques, including Regression, Clustering, Probability Networks, Artificial Intelligence (AI), and Deep Learning.
• Hands‑on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges.
• Experience working with relational database and cloud computing technologies such as Databricks, Snowflake,…