Data Scientist

Job Posting Title: Data Scientist Location: Unilever Bangalore 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.  About UniOps: Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit. Purpose of the Role: Works with the product and business teams to fully understand the business problem and how to deliver relevant insights that lead to actions. Gathers, analyses, models and interprets data to solve complex business problems and evaluate scenarios to recommend next best actions to the business.  Fast paced agile experimentation with quick iterations to help demonstrate the value to build new product features/releases. Incorporate design thinking elements in building and developing solutions  Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning. Build the know-how to develop Gen and Agentic AI solutions to meet growing business requirements in the space.  Able to scale and industrialize the solution on cloud-based platforms Areas of Focus: Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources  Innovate new D&A methodologies motivated by local needs which feed into D&A’s global product pipeline  The position will be primarily a sole contributor role working closely with the business interpreter across a variety of markets & teams.  Guide team on continuous improvement which will include:  Improved ways of working  Simplification and standardization About You: Degree Qualified in a relevant technical field (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research). Strong track record in solving problems using quantitative and statistical approaches Expert knowledge in some of the following areas with good theoretical understanding across all: Regression, Time Series Forecasting, Causal Inference, Simulation, Optimization. Experience in developing AI solutions using LLMs and Agents is a plus. Experience in designing and industrializing data science solutions  Expert knowledge of Python & Spark  Experience in communicating with clients and requirement gathering Ability to manipulate and interpret complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data) Expert in working with cloud-based platforms like Azure, Databricks. Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation Passion for delivering service excellence; and developing a culture of “easy to do business with”, where customer’s needs are anticipated Highly inquisitive mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines Team-player who is a proactive self-starter, with the ability to work without oversight. Strong ethical standards regarding the handling of information. Ability to work quickly and accurately, and within a cross-culture and global environment. Ability to work with a broad, virtual team Proficiency in MS Office Suite and SQL desirable.  Analytically minded with good numerical ability and logical reasoning Please Note: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.