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. More about the role We’re looking for a Principal Data Scientist to work on GenAI & machine learning for providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in GenAI, LLM fine tunning, advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (e.g. Finance, Sales, Marketing, Supply Chain, etc.). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical/machine-learning models in support of on-demand, real-time analytic services. The applicant should also have strong skills GenAI solution development and implementation, should be aware of latest tools and technology in the area of GenAI, Agentic AI, and should be a power user of at least one of GenAI tool (ChatGPT, Copilot etc.). The candidate should be proficient in explaining the analytic models and outcomes to business stakeholders. You’ll be part of the Signify’s Advanced Analytics team, based in Bangalore. What you’ll do Lead, guide and advice a team of Data Scientists and manage project timelines, resources, and deliverables Conceptualize, develop and implement GenAI/Agentic AI solutions at an enterprise level. Focus on productization & scalability of GenAI/ML solutions that can be replicated across multiple markets / businesses to solve similar business problems. Work with business groups to ensure models can be implemented as part of a delivered solution and can be replicated across multiple markets / countries Keep abreast of the latest developments in the field of GenAI, Agentic AI, ML, data science, by continuous learning and proactively champion promising new methods relevant to the problems at hand Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to solve complex business problems Conduct data analysis, data mining, and data visualization to identify patterns and insights in large datasets Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business performance Present findings and recommendations to senior leadership and stakeholders in a clear and concise manner Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence Be overall responsible for all the Data Science related deliverables and in meeting accuracy targets Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems Present findings to stakeholders to drive improvements and solutions from concept through to delivery What you’ll need Working knowledge in GenAI, Agentic AI solution development and implementation, finetuning open source LLM’s and contextualizing the same with internal enterprise data. Working knowledge with at least one of the GenAI tool (ChatGPT, Copilot etc.) PhD / Masters / B.Tech in computer science, computer engineering with 12+ years of demonstrated experience in the Advanced Analytics / Machine Learning field Strong programming skills in languages such as Python, and SQL and various open source machine learning and analytics packages Demonstrated history of driving and delivering analytics models and solutions Deep knowledge of fundamentals of machine learning, data mining and statistical modeling, and extensive experience applying these methods to real world problems Hands on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot Experience with big data technologies such as Hadoop, Spark, and NoSQL databases Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Strong problem-solving skills and the ability to think creatively and strategically. Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realize in Practice. What you’ll get in return… Opportunity to work on some of the highly complex and challenging business problems across a variety of functional domains and consumer markets. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, free training and Coaching 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 Privacy Notice for the Recruitment Process Concerning US based roles: 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. In order to ensure reasonable accommodation 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. Pay Transparency Nondiscrimination Policy: 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.

Principal Data Scientist.

more at lighting.wd3.myworkdayjobs.com/jobs-and.

Industrial Test Engineer

Key Account Manager, Smart Home Lighting (Architects & Integrators)

Financial Analyst (FP&A)

similar roles.

Staff Machine Learning Engineer

App Developer - AI/ML

Senior Data Engineer, Data Analytics

Agentic AI in Contact Center

AI Researcher - Pre-training (f/m/d)

Career Fair - Quality