Job Title: Data Scientist
Location: Bengaluru, India
Function: R&D
Data Scientist - Home Care Research & Development
Turn scientific data into insights, innovation and real-world impact combining data science and python modelling to connect data, models and scientific workflows, accelerate virtual experimentation and help teams make faster, evidence-led decisions.
Shape the future of innovation through data and science
At Unilever, billions of people use our products every day. Behind each innovation is a team of scientists, technologists and problem-solvers working together to improve everyday life and create a more sustainable future.
We are looking for a Data Scientist to join our Home Care Research & Development team. You will apply Python programming, data science and modelling knowledge to solve practical scientific challenges, accelerate product innovation and help teams make faster, evidence-led decisions.
If you enjoy turning complex data into meaningful insights, building reliable models and working closely with scientists, we would love to hear from you.
Why join us?
You will join a collaborative global team that brings together science, technology and creativity. In this role, you will:
Help scientists make faster and better-informed decisions.
Work on meaningful applications of data science, machine learning and artificial intelligence.
Develop solutions that directly support product innovation and research.
Collaborate with experts across science, data, digital technology and business teams around the world.
Build your technical, scientific and leadership capabilities through varied projects, mentoring and continuous learning.
What you will do
Partner with scientists and business colleagues to understand challenges and translate them into clear analytical questions and practical solution plans.
Develop reliable Python codes for data collection, cleaning, transformation, analysis and reusable modelling workflows.
Analyse structured and unstructured data using statistical, machine-learning and, deep-learning techniques.
Build, validate predictive and prescriptive models, clearly documenting their assumptions, performance, limitations and suitability for use.
Continuous monitoring and adoption of the applications
Develop user-friendly applications that enable scientists to use models and analytical solutions effectively.
Create visualisations and dashboards that make complex information easier to understand and support informed decisions.
Apply good software development practices, including version control, modular coding, testing and documentation.
Contribute to data quality, model governance and the responsible use of artificial intelligence.
Work with global teams, communicate progress and recommendations clearly, and take ownership for delivering high-quality outcomes.
What we are looking for
Essential qualifications and experience
A bachelor’s or master’s degree in Data science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
At least three to four years of hands-on experience in data science, scientific computing, analytics or modelling.
Strong Python programming skills, including experience with widely used data analysis and machine-learning libraries.
Practical experience in modelling, machine learning and model evaluation techniques.
Ability to work with complex datasets, identify insights and solve open-ended problems.
Clear written and verbal communication skills, with the ability to work effectively with both technical and non-technical colleagues.
Additional experience that would be valuable
Building web-based analytical applications using Python tools such as Flask, Dash or Streamlit.
Working experience in GCP
Using Structured Query Language for data access and Git for version control.
Creating reports and dashboards using Power BI
Working with generative artificial intelligence and large language models in scientific or business settings.
Applying software development practices to create maintainable analytical products.
What success looks like
You are curious, analytical and motivated by solving meaningful problems. You enjoy learning new technologies, collaborating across disciplines and turning ideas into practical solutions. You take ownership of your work, communicate openly and focus on creating value for scientists, consumers and the business.
Our team culture
You will be part of an inclusive and supportive team where different perspectives are valued. We work collaboratively, share knowledge and learn from both successes and setbacks. You will have space to contribute ideas, develop new capabilities and grow through exposure to global projects and experienced scientific and digital colleagues.
“Our commitment to Equality, Diversity & Inclusion”
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
Note: "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding."
Skills Required
- Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
- At least three to four years of hands-on experience in data science, scientific computing, analytics, or modelling
- Strong Python programming skills, including experience with data analysis and machine-learning libraries
- Practical experience in modelling, machine learning, and model evaluation techniques
- Ability to work with complex datasets, identify insights, and solve open-ended problems
- Clear written and verbal communication skills, with the ability to work with technical and non-technical colleagues
- Experience building web-based analytical applications using Flask, Dash, or Streamlit
- Experience working with Google Cloud Platform
- Experience using SQL for data access and Git for version control
- Experience creating reports and dashboards using Power BI
- Experience with generative artificial intelligence and large language models
- Experience applying software development practices to create maintainable analytical products
Unilever Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unilever and has not been reviewed or approved by Unilever.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life insurance, and occupational health support alongside a 24/7 employee assistance program. Wellbeing offerings such as health checks, resilience tools, and counseling support the perceived depth of health-related benefits.
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Retirement Support — Retirement support includes a 401(k) match that reaches up to 5% of base salary, strengthening the overall value of the package. Share and savings options are also referenced as part of longer-term financial support beyond salary.
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Flexible Benefits — Benefits customization is enabled through tools such as a “My Reward” system and a “Benefits Envelope” that allows employees to personalize selections. Flexible working approaches are also associated with improved overall satisfaction, reinforcing perceived choice and adaptability in the total rewards offering.
Unilever Insights
What We Do
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. Our portfolio ranges from nutritionally balanced foods to indulgent ice creams, affordable soaps, luxurious shampoos and everyday household care products. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Dermalogica. 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.
