Data Scientist - AI and LLMs - People Analytics

Philips International; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Philips is seeking a Data Scientist specializing in AI and LLMs for People Analytics. You will design rigorous data science and AI products, partner with Data Engineers and Full Stack AI Engineers, and translate complex questions into robust analytical solutions.

You will work within the People Analytics Development Pod, shaping evidence-based analytics while ensuring privacy and responsible‑AI considerations. Strong Python/SQL and experience with Databricks are preferred.

Qualifications

• Bachelor's or master's in data science, statistics, economics, mathematics, computer science, or a related field.
• Strong experience in data science, analytics and ML.
• Proficient in Python and SQL for data analysis and reproducible workflows.
• Familiar with statistical analysis, model validation and experimental methods.
• Experience building predictive/analytical models and translating results to business decisions.

Responsibilities

• Develop AI/ML solutions and LLM-enabled capabilities for People Analytics.
• Prototype, evaluate and ground AI solutions with governance and safety in mind.
• Collaborate with data engineers and full-stack AI engineers to deploy scalable analytics.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python

SQL

Statistical modelling

Machine learning

AI and LLM applications

Data storytelling

Education

Bachelor's or Master's in data science or related field

Tools

Databricks

MLflow

Azure OpenAI

Job description

Job Title Data Scientist - AI and LLMs - People Analytics

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 opportunity 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, citations, guardrails and human-in-the-loop workflows. Designing structured evaluation approaches for AI and LLM solutions, including relevance, factuality, completeness, safety, fairness and user usefulness.

Selecting the appropriate solution approach for each problem, including statistics, machine learning, GenAI, search, automation and rules-based logic. Collaborating with Data Engineers to define data requirements, data quality expectations and reusable analytical datasets. Collaborating with Full Stack AI Application Engineers to translate analytical and AI capabilities into intuitive, scalable applications. Using Databricks and related data and AI capabilities to develop, test and operationalise analytical solutions where relevant. Applying privacy, security, responsible-AI and compliance requirements when working with sensitive employee or business data. Documenting methodologies, assumptions, model performance, evaluation results and limitations. Communicating complex findings and technical trade-offs clearly to technical and non-technical stakeholders.

You are a part of The People Analytics Development Pod within the People Intelligence organisation. The pod builds high-value digital products, AI-enabled applications, automations and analytics experiences. The Data Scientist brings analytical rigour and AI expertise to the pod, working closely with colleagues across People Intelligence and stakeholders throughout Philips.

You will work closely with: The People Analytics Lead and People Intelligence Analytics Partners Data Engineers Full Stack AI Application Engineers Product owners and business stakeholders across Philips Enterprise IT, cloud, architecture and security teams Privacy, compliance and responsible‑AI teams

Qualities and Experience

• A bachelor's or master's degree in data science, statistics, economics, mathematics, computer science, engineering, behavioural science, quantitative social science or a related field.
• Strong professional experience in data science, advanced analytics, statistics, machine learning or a comparable quantitative discipline.
• Strong hands‑on Python and SQL skills for data analysis, modelling and reproducible analytical workflows.
• Strong grounding in statistical analysis, model validation and experimental or quasi‑experimental methods.
• Experience developing predictive or analytical models and translating their results into business decisions.
• Experience working with structured and unstructured data.
• Familiarity with machine‑learning techniques and their appropriate use, limitations and evaluation.
• Practical experience with AI or LLM‑enabled solutions, such as prompt workflows, semantic search, RAG, text analytics or conversational interfaces.
• Understanding of LLM evaluation, including how to assess relevance, factuality, consistency, safety and business usefulness.
• Experience working with modern data and AI platforms, preferably Databricks or an equivalent environment.
• Ability to communicate analytical concepts, uncertainty, assumptions and recommendations clearly to non-technical audiences.
• Strong business acumen, curiosity and the ability to turn ambiguous stakeholder questions into rigorous analytical work.
• Understanding of privacy, fairness, explainability and responsible‑AI considerations.
• Ability to work independently while collaborating effectively in a global, matrixed environment.

Preferred experience

• Experience with Databricks, including notebooks, SQL warehouses, MLflow, feature engineering, model serving or AI capabilities.
• Experience with workforce, talent, HR, commercial, operational or other business analytics.
• Experience with forecasting, workforce planning, optimisation, experimentation or causal inference.
• Experience with Azure OpenAI, Azure AI services or another enterprise GenAI platform.
• Experience with NLP, text analytics, embeddings, vector search or conversational systems.
• Experience designing human evaluation, feedback or adoption‑measurement processes for AI products.
• Experience building analyses or models using sensitive or regulated data.
• Experience collaborating with product, engineering, privacy and compliance teams to bring analytical solutions into use.
• Experience working in global, matrixed organisations.

Key capabilities

• Data science and advanced analytics;
• Statistical modelling and inference;
• Machine learning;
• AI and LLM applications;
• LLM evaluation and responsible AI;
• Experimentation and causal inference;
• Forecasting and predictive modelling;
• Python and SQL;
• Databricks and modern data platforms;
• Data storytelling and visualisation;
• Business acumen and stakeholder partnership;
• Technical ownership.

How we work together

We believe that collaboration and effective ways of working are essential to building meaningful solutions. For this role, we prefer candidates who can work from Bangalore and collaborate closely with local and global stakeholders.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we will not stop until everybody everywhere has access to the quality healthcare that we all deserve. Doing meaningful work with people who share our passion for improving lives is what makes Philips a unique place to work. At Philips, we believe that every human matters. As a global health‑tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life. For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health. Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism. To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug‑free workplace. Know Your Rights