Unilever is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• Unilever

Location:

• Bengaluru, Karnataka, India

Job type:

• Full time

Job mode:

• Onsite

Job requisition id:

• R-1168577

Years of experience:

• 0 to 3 years

Company description:

• Unilever is known for consumer products used across countless households in India and across the globe.

• The organisation brings together well established brands that influence everyday living, and it consistently works toward positive change for customers and communities.

• Growth, curiosity, learning and responsible business conduct are highly encouraged.

• Employees are supported by experienced leaders who guide, motivate and create an environment where individuals can bring meaningful ideas to their roles.

• The work culture is shaped around purpose and impact, creating space for individuals to contribute to long term improvements in society.

• Teams across functions take pride in building products that enhance everyday experiences for people.

• The company promotes innovation of all sizes, and encourages experimentation and creativity across teams.

• People working here gain exposure to global markets, multidisciplinary projects and varied business problems.

• The organisation provides an environment where professionals can bring their complete selves to work, exchange ideas freely, and develop skills that support long term growth.

• This role sits within a large ecosystem of technology, operations and business functions that collaborate closely.

Profile overview:

• The role involves working closely with product teams and business stakeholders to understand challenges, define questions and identify how data can support better decisions.

• It involves collecting, cleaning, structuring and studying varied datasets to uncover patterns that help the business act with clarity.

• You will take part in developing models that diagnose issues, forecast outcomes and support forward looking recommendations.

• The role requires quick experimentation, repeated testing and refinement of ideas to support the development of new product features and updates.

• It also includes shaping solutions that use modern data science techniques and classical statistical tools.

• You will contribute to building capability in areas linked to newer AI methods, including the use of generative systems and automated agent frameworks.

• Your work will include ensuring that solutions can scale on cloud platforms and remain fit for large volumes of incoming information.

• You will interact with multiple teams across countries, markets and functions, ensuring smooth coordination.

• You may be required to support improved work practices and support standardisation of approaches.

• The role gives exposure to diverse analytical tasks, including business understanding, model creation, validation, communication and deployment.

Qualifications:

• A degree in areas related to technology, mathematics, engineering, statistics, operations research or similar technical fields.

• Practical experience in solving analytical problems through logical reasoning and structured thinking.

• Strong knowledge of topics such as regression, forecasting, causal analysis, simulation and optimisation.

• Familiarity with modern AI methods, including model building using new generation tools and agent based systems, is an advantage.

• Hands-on experience in creating and managing data science solutions through the full lifecycle.

• Good command over Python and Spark, along with strong data manipulation skills.

• Comfort in engaging with stakeholders, collecting requirements and presenting insights clearly.

• Ability to work with large datasets from multiple business systems and external partners.

• Exposure to cloud platforms such as Azure or Databricks.

• Strong communication abilities and clarity in explaining concepts to non-technical audiences.

• Good listening skills, and a service driven attitude when dealing with internal teams.

• Ability to work independently, maintain timelines, organise tasks and deliver consistent outputs.

• A mindset that constantly searches for easier, cleaner and more effective ways to solve problems.

• Ability to adapt in multicultural, global environments and collaborate with virtual teams.

• High ethical standards while handling data and confidential information.

Additional info:

• The role involves being the technical expert for diagnostic and predictive modelling tasks.

• You will support business partners by creating decisions backed by structured methods, ensuring that insights translate into practical actions.

• You will contribute to connecting various data sources for deeper understanding of changing customer behaviour.

• There is active involvement in improving processes, simplifying workflows and enabling faster delivery cycles.

• The role is a sole contributor position but requires frequent collaboration with interpreters, strategy teams and market specific teams.

• You will guide peers on adopting better analytical approaches and stronger quality standards.

• Clarity, precision and the ability to manage large amounts of information are essential for success.

• The company encourages long term skill growth in modern data engineering, analytical automation and cloud based delivery.

• You will also ensure that solutions developed can be scaled and used repeatedly across teams.

• The organisation highlights the need for careful verification of official offers, and applicants are asked to be cautious of fraudulent messages.

Please click here to apply.