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We are looking to hire an Associate Data Scientist, Modelling & Analytics Digital R&D based in Bangalore
Unilever is one of the world’s leading suppliers of fast-moving consumer goods. Our products are sold in over 190 countries and used by 2 billion consumers every day. People know us by our brands which include Dove, Suave, Lifebuoy, Axe, 7th Generation, Knorr, and Ben & Jerry’s ice-cream. Unilever has extensive R&D facilities around the globe with a mission to innovate boldly for people and planet. To meet the sustainable business growth challenges of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development, through a Digital Transformation program. The Digital R&D team is leading this transformation of R&D through programs focused on Digitalization of R&D (knowledge/insights discovery, virtual product design and simulation) and developing Digitally enabled consumer innovations. The Modelling & Analytics team in Digital R&D, is a central expertise team that provides leading edge statistics, data science, data management, modelling and simulation expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions. The products and brands we support are across Unilever’s categories in Foods & Refreshment, Home Care and Beauty & Personal Care.
We are looking for a Data Scientist who will support our Product Innovation and Science & Technology teams in R&D with insights gained from analyzing data. The ideal candidate is adept at using large biology data sets to find functional insights of various biological processes. The candidate should also apply the analytics for product and process optimization and use models to test the effectiveness of different courses of action. Must have strong background in analyzing omics datasets using relevant tools and databases for human biology and microbiome. Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The candidate should have a Master’s Degree and 6-9 experience in Computational Biology/ Data Science or equivalent. Experience in FMCG/Retail/Pharmaceutical industries is a plus.