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Data Scientist|Unilever

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Job Description

Job ID: R-1168577
Category: UniOps
Location: Bengaluru, Karnatak

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 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, innovations, user experiences and seamless end-to-end delivery.

Purpose of the Role

  • Work with product and business teams to understand business problems and deliver insights.
  • Gather, analyze, model, and interpret data to solve complex business issues.
  • Perform agile experimentation to build new product features and releases.
  • Use design thinking in building solutions.
  • Act as expert on diagnostic and predictive modeling & Machine Learning.
  • Develop GenAI and Agentic AI solutions.
  • Scale and industrialize solutions on cloud-based platforms.

Areas of Focus

  • Build data-science and algorithmic solutions for diagnostic, predictive, and prescriptive analytics.
  • Drive insights by connecting external and internal data sources.
  • Innovate new D&A methodologies to support global product pipelines.
  • Collaborate as a sole contributor across teams and markets.
  • Guide improvements in workflows, simplification, and standardization.

About You

  • Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or related fields.
  • Strong quantitative and statistical problem-solving skills.
  • Expertise in Regression, Time Series, Causal Inference, Simulation, Optimization.
  • Experience developing AI solutions using LLMs and Agents is a plus.
  • Proficient in Python and Spark.
  • Experience in client communication and requirement gathering.
  • Ability to work with structured and unstructured data.
  • Experience with Azure and Databricks.
  • Excellent communication and presentation skills.
  • Strong analytical, problem-solving, and troubleshooting mindset.
  • Ability to work independently and with global teams.
  • Proficiency in MS Office and SQL desirable.

Important Note

All official offers from Unilever are issued only via the ATS. Offers from individuals or unofficial sources may be fraudulent — verify before proceeding.


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Job Summary

  • Position: Data Scientist
  • Company: Unilever
  • Location: Bengaluru, Karnataka
  • Department: UniOps
  • Experience: Strong background in statistical modeling, ML, and cloud platforms
  • Key Skills: Python, Spark, ML, Predictive Modeling, Azure, Databricks, Data Analysis, GenAI
  • Role Type: Individual Contributor

Key Responsibilities

  • Analyze high-volume data to solve complex business problems.
  • Develop diagnostic, predictive, and prescriptive models.
  • Build GenAI and Agentic AI-based solutions.
  • Work cross-functionally with business and technology stakeholders.
  • Develop and industrialize scalable data-science solutions on cloud platforms.
  • Drive innovation and continuous improvement.

Who Can Apply

  • Candidates with strong statistical, analytical, and ML skills.
  • Individuals experienced in Python, Spark, cloud tools, and enterprise data.
  • Professionals who can work independently and in global teams.

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