Job Title
Data Scientist - AI and LLMs - People Analytics
Job Description
Job Description Summary
Develop rigorous data-science, machine-learning and AI solutions that turn People and business data into trusted insights, predictions and decision-support products for Philips. You will bring strong statistical and analytical expertise, complemented by a practical specialism in AI and large language models (LLMs), to solve complex business problems responsibly.
In this role, you have the prospect to
Shape evidence-based data, analytics and AI solutions that help Philips teams make better decisions and improve outcomes.
As part of the People Analytics Development Pod, you will partner with business stakeholders, Data Engineers and Full Stack AI Application Engineers to translate ambiguous questions into robust analytical approaches, models and AI-enabled product capabilities. While embedded in People Analytics, you will contribute to products and use cases with relevance across Philips.
You are responsible for
• Framing complex business questions as measurable analytical, statistical,



machine-learning or AI problems.
• Exploring, preparing and analysing data to identify insights, patterns, risks and opportunities.
• Designing and developing predictive, descriptive, diagnostic and prescriptive models for People Analytics and broader Philips use cases.
• Applying robust statistical methods, including hypothesis testing, segmentation, forecasting, regression, classification, causal inference or experimentation, where appropriate.
• Designing clear analytical narratives, visualisations and recommendations that enable business stakeholders to make confident decisions.
• Bringing an AI and LLM specialism to the team, identifying where GenAI, retrieval-augmented generation, semantic search, natural-language interfaces or automation can create meaningful value.
• Prototyping and evaluating LLM-enabled solutions, including prompt design, retrieval approaches, grounding, citat

📌 Data Scientist (Bengaluru)
🏢 Philips
📍 Bengaluru