Assistant Research Scientist

Job Title: Assistant Research Scientist

Location: Unilever R&D Bangalore

About Unilever:

Unilever is reimagining the future of cleaning, and it starts with reinventing a century-old history of chemistry. Billions of people around the world are asking for products that are tough on germs and stains, and ever more convenient to use. But now, people also want these products to be kinder to the planet.

The Purpose of the Science & Technology, Home care team is to provide Unilever with world class capability to develop next generation formats like powders, bars, liquids, capsule products with superior performance, great value, and sustainable technology.

Within the S&T, team is responsible for exploring upstream/novel process and product technologies. This includes the development of new analytical methodologies to create data spaces and digital models of previously unknown interactions. These technology insights are used to develop deep domain expertise that ultimately supports the product design and delivers competitive advantage.

About theRole

We're building the next generation of Home Care formats and digital is at the heart of this transformation. This role is about making digital real, by taking on the Insilco first mindset by connecting data, AI, and advanced modeling to accelerate innovation and deliver sustainable products faster.

You'll play a major part in the digital roadmap for FCF, stitch together tools, models, and workflows, and make sure they land in the hands of scientists and formulators. If you love solving complex problems, cutting across multiple length and time scales, integrating cutting-edge tech, and turning ideas into scalable solutions, this is your space.

JOB SCOPE:

Lead Digital Integration:

• Build connected workflows across Unilever data capture platforms and simulation platforms.
• Ensure a seamless data architecture framework for formulation design and predictive modeling.

Deploy Advanced Modeling:

• Build and deploy QSPR models for material and formulation property prediction.
• Run Molecular Dynamics and/or Dissipative Particle Dynamics and/or Computational Fluid Dynamics simulations to develop digital twins for practical systems.
• Implement advanced AI and ML-based algorithms for property evaluation and generative design.
• Adapt and integrate state-of-the-art code from external repositories and research papers into enterprise-level digital pipelines.
• Implement modular, scalable, and secure digital solutions.

Enable Teams:

• Partner with Science & Tech, Global Design, SEAC, and regulatory teams to embed digital tools in real projects.
• Train and coach teams on digital-first workflows.

REQUIREMENTS:

• Education: Master's or PhD in Chemical Engineering, Data Science, Computational Chemistry, or related field.
• Experience: 5+ years in digital R&D, QSPR modeling, and AI-driven product development.
• Hands-on with MD/DPD/CFD, neural networks, deep learning frameworks, and LLMs.
• Proven ability to curate and integrate open-source code into enterprise solutions.

Skills:

• Python, TensorFlow, PyTorch, RDKit, GROMACS, (LAMMPS, CFD)
• Strong grasp of surfactants, colloidal science, polymers, and material property modeling.
• Excellent stakeholder management and ability to translate tech into impact.

WHAT WE OFFER:

• Competitive salary and agile working.
• Work on brands that touch billions of lives.
• Be part of a global, purpose-led business driving sustainability and innovation.

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.

"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."