Lead Data Scientist

Philips Lighting Spain SL.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Signify, formerly Philips Lighting, seeks a Lead Data Scientist to guide GenAI initiatives and build AI-driven solutions. You will design LLM-based applications, implement embeddings, RAG, and AI agents, and work with data to drive business insights in a fast-paced environment.

With 4+ years in data science, you will mentor juniors, evaluate models, and ensure scalable AI integrations across products. Join a global leader in lighting and shape the future of AI-enabled solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics, Engineering, or a related field.
• Minimum 4+ years hands-on experience in data science, machine learning, AI, analytics, or related roles.
• Strong programming skills in Python and strong working knowledge of SQL.
• Hands-on experience with data science libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar.
• Strong understanding of machine learning algorithms, model evaluation, feature engineering, experimentation, and statistical analysis.
• Practical experience with Generative AI concepts, including LLMs, prompt engineering, embeddings, RAG, vector databases, and model evaluation.
• Understanding of Agentic AI concepts, including tool calling, planning, memory, orchestration, multi-agent workflows, and guardrails.
• Experience working with APIs and integrating AI/ML models into applications, workflows, or business systems.

Responsibilities

• Design, build, and optimize LLM-based applications using prompt engineering, RAG, embeddings, vector search, and AI agents.
• Develop and evaluate machine learning models for prediction, classification, forecasting, recommendation, anomaly detection, NLP, and optimization.
• Work with structured and unstructured data to extract insights, build features, and create AI-ready data pipelines.
• Evaluate GenAI and Agentic AI outputs for accuracy, relevance, hallucination risk, safety, bias, latency, and business usefulness.
• Leverage AI-assisted coding tools for faster coding, experimentation, debugging, and documentation.
• Communicate technical findings, model performance, risks, and recommendations clearly to stakeholders.

Skills

Python

SQL

LLM

Generative AI

Machine Learning

Data analytics

NLP

Communication

Education

Bachelor's or Master's in CS/DS/AI/Math

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

Job description

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.

Job Summary

We are looking for a Lead Data Scientist with 4+ years of experience to lead data science, Generative AI, and Agentic AI initiatives. The candidate will design and build AI-driven solutions using LLMs, RAG, AI agents, machine learning, and advanced analytics. This role requires strong hands‑on technical skills, business problem‑solving ability, and experience guiding junior team members.

Key Areas of Responsibility

• Design, build, and optimize LLM-based applications using techniques such as prompt engineering, RAG, embeddings, vector search, and AI agents.
• Develop and evaluate machine learning models for use cases such as prediction, classification, forecasting, recommendation, anomaly detection, NLP, and optimization.
• Work with structured and unstructured data to extract insights, build features, and create AI‑ready data pipelines.
• Evaluate GenAI and Agentic AI outputs for accuracy, relevance, hallucination risk, safety, bias, latency, and business usefulness.
• Leverage AI‑assisted coding tools such as Codex, GitHub Copilot, ChatGPT, Cursor, or similar tools for faster coding, experimentation, debugging, and documentation.
• Communicate technical findings, model performance, risks, and recommendations clearly to stakeholders.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics, Engineering, or a related field.
• Minimum 4+ years of hands‑on experience in data science, machine learning, AI, analytics, or related roles.
• Strong programming skills in Python and strong working knowledge of SQL.
• Hands‑on experience with data science libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib, or similar.
• Strong understanding of machine learning algorithms, model evaluation, feature engineering, experimentation, and statistical analysis.
• Practical experience with Generative AI concepts, including LLMs, prompt engineering, embeddings, RAG, vector databases, and model evaluation.
• Understanding of Agentic AI concepts, including tool calling, planning, memory, orchestration, multi‑agent workflows, and guardrails.
• Experience working with APIs and integrating AI/ML models into applications, workflows, or business systems.
• Ability to understand, validate, debug, and improve outputs generated by GenAI tools.

Good to have skills

• Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar
• Familiarity with MLOps and LLMOps practices including model monitoring, prompt versioning, evaluation pipelines, CI/CD, and observability

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together. Come join us, and together we can light up the future. We are Signify, the new company name of Philips Lighting, and we light up the world! Our purpose is to unlock the extraordinary potential of light for brighter lives and a better world. We’re committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future. Join the undisputed leader in the lighting industry and be part of our diverse global team.

#WeAreSignify #SignifyLife

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Signify is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status. As an equal opportunity employer, Signify is committed to a diverse workforce.

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Signify North America Corporation (“Signify”) will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Signify, or (c) consistent with Signify's legal duty to furnish information.