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.
Responsibilities
Partner closely with product, business, and analytics stakeholders to deeply understand problem statements and translate them into actionable, data-driven solutions.
Design, build, and deploy predictive and prescriptive models using classical statistical methods and machine learning.
Lead fast-paced, agile experimentation, iterating quickly to demonstrate value and inform product development and releases.
Apply design thinking principles to develop solutions that are scalable, usable, and aligned with business needs.
Act as a technical expert in advanced modelling techniques, supporting solution design and peer reviews.
Develop and evolve capabilities in Generative AI and Agentic AI, contributing to next-generation analytics solutions.
Industrialise and scale solutions on cloud-based platforms, ensuring robustness, performance, and maintainability.
Areas of Focus
Build end-to-end data science solutions addressing complex business problems through diagnostic, predictive, and prescriptive analytics.
Unlock new insights by integrating internal and external data sources (e.g. retailer data, econometric models, panel data).
Innovate new methodologies driven by local market needs, contributing to the global D&A product pipeline.
Operate primarily as a strong individual contributor, working across multiple markets and teams in close partnership with business interpreters.
Champion continuous improvement through:
Simplified and standardised ways of working
Improved development and delivery practices
About You
Experience & Expertise
Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research, or similar).
Strong track record of solving complex business problems using quantitative and statistical approaches.
3 yrs or more experience in Deep expertise in several of the following with solid theoretical grounding:
Recommendation engines (Required)
Churn modelling (Required)
Regression and econometric modelling ( Preferred)
Time Series Forecasting ( Preferred)
Experience developing and industrialising machine learning and advanced analytics solutions.
Advanced proficiency in Python and Spark, with experience working in Databricks and Azure environments.
Proven ability to work with large, complex, high-dimensional datasets, both structured and unstructured (e.g. SAP, POS data).
Exposure to LLMs and agent-based systems is a plus.
Ways of Working
Excellent communication, active listening, and presentation skills, able to engage audiences at different levels of the organisation.
Highly inquisitive and analytical mindset, with a passion for problem solving, simplification, and continuous improvement.
Well-organised, with strong time management skills and the ability to prioritise effectively in a fast-paced, global environment.
Proactive self-starter who thrives with autonomy while collaborating effectively within cross-functional and virtual teams.
Passion for deli
Benefits
Vision insurance
Additional Information
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.
Unilever · Air Office