ABOUT UNILEVER:
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.
Background
Marketing science and analytics has a rich and productive history within Unilever. For over 30 years, the CMI Advanced Analytics Unit (AAU) has been the Global Centre of Excellence for driving the agenda throughout the company, ensuring our marketing is inspired by evidence and standard methodology. We blend a strong understanding of our data sources (which describe our consumers, brands, categories, and markets) with the technical modeling expertise to derive robust insights from these data sources, all packaged in tools and software that makes it easy and intuitive for the organization regarding decisions.
Today, the demand for analytics to power our insight and decisions is far greater than ever before, as the range of data sources available to us grows exponentially, and the technology to make sense of it evolves daily. It is imperative to be at the forefront of this revolution, ensuring that data-driven marketing becomes second nature whilst pushing the boundaries on what is possible through new modeling methodologies and democratizing the power of analytics by building user-friendly interfaces, and simulators to ensure wider adoption by business partners across the Unilever world. In line with this vision, AAU has been renamed CMI Predictive Analytics.
Responsibilities
Data Scientist will be working in multi-functional project teams comprising of members from external agency partners internal advanced analytics, and business leadership teams. The role of the project teams will be to design, build, and embed large-scale business-relevant tools/capabilities in the area of data-driven marketing.
The responsibilities of the Data Scientist in the project teams will be to help:
The key to success in the role is the ability to build and democratize at-scale sophistication in predictive analytics which delivers better business outcomes.
Skills and Experience
The skill sets required for effective implementation of the vision for this role are:
Have experience with technical aspects of some of the requirements below. It is fine not to have hands-on experience with all the areas outlined below but will be good to have experience in some of these areas and interest, ability to learn quickly on the other areas required on individual projects: