Unilever
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Unilever. Skills: Data science, Machine learning, AI solutions, Advanced analytics. Understand problem statements. Translate problems into solutions”
Industry & Context.
Problem solving; Analytical mindset
What They're Looking For.
Must Have
Degree in Data Science, Degree in Computer Science, Degree in Engineering, Degree in Mathematics, Degree in Statistics, Degree in Econometrics, Degree in Operations Research, 3+ years experience, Recommendation engines required, Churn modelling required, Advanced proficiency in Python, Advanced proficiency in Spark
Nice to Have
Regression modelling preferred, Econometric modelling preferred, Time Series Forecasting preferred, LLMs exposure a plus, Agent-based systems exposure a plus
What You'll Do.
Understand problem statements
Translate problems into solutions
Design predictive models
Build predictive models
Deploy predictive models
Design prescriptive models
Build prescriptive models
Deploy prescriptive models
Lead agile experimentation
Inform product development
Inform product releases
Apply design thinking
Develop scalable solutions
Develop usable solutions
Align solutions with needs
Act as technical expert
Support solution design
Develop Generative AI capabilities
Develop Agentic AI capabilities
Contribute to analytics solutions
Industrialise solutions
Address business problems
Integrate data sources
Innovate methodologies
Contribute to product pipeline
Improve development practices
Improve delivery practices
How You'll Work.
Team & Collaboration
Product stakeholders; Business stakeholders; Analytics stakeholders; Cross-functional teams; Virtual teams
Communication Scope
Presentation skills; Active listening
Process & Methodology
Agile experimentation
Full Job Description
**Note: Deadline for applying is 23.59 the day before the Job Posting End Date.** **UNILEVER IS HIRING Data Scientist /Data Foundation / CD XOPS** Location: Air Office Full-time Local conditions apply The role will be closed once the best match is found even before the posting end date **About Unilever** Unilever is one of the world’s leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day. Our portfolio includes iconic brands such as Dove, Knorr, Domestos, Hellmann’s, Persil, Cif, Tresemmé, Rexona, and Axe. Guided by our purpose—to make sustainable living commonplace—we aim to grow our business while addressing the challenges of climate change and human development, enabling people everywhere to live well within the limits of the planet. **About Global Data & Technology (GDT)** Data Foundation within GDT exists to make Unilever data-intelligent, empowering critical business decisions through data, advanced analytics, and AI. Our vision is a future-fit Unilever—an organisation where data underpins every aspect of decision-making: accelerating innovation, strengthening brands, driving excellence in customer execution, enhancing consumer experiences through personalisation, and transforming internal operations for efficiency and scale. We bring together specialists across the business and offer a unique opportunity to work at the intersection of data science, business impact, and cutting-edge technology, with a direct link to Unilever’s growth and purpose. **About the Role** As a Data Scientist, you will play a key role in delivering advanced analytical and AI solutions that support commercial and operational decision-making across markets. This is a hands-on, mid-senior individual contributor role, requiring strong technical depth, the ability to operate autonomously, and close collaboration with product, engineering, and business partners. **Key Responsibilities** * Partner clo
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