Principal Data Scientist

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 / 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.