DATA SCIENTIST (WL1D)
MAIN JOB PURPOSE:
The D&A team is the platform in UniOps to provide the end-to-end data, information, and analytics across markets, functions, experiences, and divisions. We aim to best capture the opportunity that data presents to our business today and in the future to power our growth, unlock capacity, and improve the consumer and customer experience.
Our purpose is to make Unilever Data Intelligent and a clear analytical competitor, powering key decisions with data, advanced analytics and AI to power growth and drive productivity.
This means using data throughout every aspect of our business to:
Improve the quality of our innovation and build stronger brands
Drive excellence in execution with our customers
Enhance the consumer experience
Transform our internal operations to run more efficiently
The role of Data Scientist delivers this vision with the following purpose:
Works with the business analyst to fully understand the business problem and how to deliver relevant insights that lead to actions.
Gathers, analyses, and model’s data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes.
Fast paced agile experimentation across a range of business areas (Sales, Marketing, P&L etc).
Build analytic models and iterate to help demonstrate the business case to scale the solution.
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.
Able to scale and industrialize the solution on cloud-based platforms
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 data and analytic methodologies driven by local needs which feed into D&A’s global product pipeline
The position will be primarily an individual contributor role working closely with the business interpreter and CCBT, CD, Supply Chain and other market teams.
Guide team on continuous improvement which includes
improved ways of working
simplification and standardization
Bachelor or Master in a relevant technical field (Engineering, Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics).
Strong track record in solving analytical problems using quantitative and statistical approaches
Expert knowledge in Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies. Experience in applying Neural Networks would be a plus
Experience in designing and industrializing Analytical solutions
Expert knowledge of an analytics tool such as R, Python & Spark
Experience in communicating with clients and requirement gathering
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
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We’re always looking to connect with those who share an interest in a sustainable future.
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