AI/ML Data Scientist - Sales Forecasting

About the role

Philips is seeking an AI/ML Data Scientist to lead sales forecasting initiatives. You will design, build and deploy advanced demand forecasting models and develop simulation tools to optimise pricing and discount strategies.

Key responsibilities

• Design, build and deploy scalable demand forecasting models (time‑series and machine‑learning) at SKU, category, channel and regional levels.
• Develop what‑if discount and price simulation tools to optimise pricing strategies and maximise margin.
• Own the full ML lifecycle – data exploration, feature engineering, model training, validation, deployment, monitoring and iteration.
• Ensure data quality and reliability through rigorous validation protocols and advanced cleansing techniques.
• Execute end‑to‑end data mining projects using advanced algorithms and AI techniques to extract actionable insights.
• Maintain robust, scalable data pipelines and workflows leveraging big‑data technologies.
• Document methodologies and analytical findings to promote transparency and cross‑functional knowledge sharing.
• Present data‑driven insights and strategic recommendations to senior stakeholders.
• Continuously monitor and improve deployed models to sustain accuracy and business impact.

Required profile

• Minimum 6 years of experience in data analytics, data science or related fields.
• Bachelor’s or Master’s degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.

Required skills

• Data analysis and interpretation
• Statistical methods and programming
• Data governance and quality management
• Business intelligence tools
• Data mining and machine‑learning engineering fundamentals
• Research and root‑cause analysis
• Regulatory compliance awareness