Job Description
ABOUT UNILEVER:
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that strive to improve the lives of our consumers and the communities around us every day. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.
At HUL, we believe that every individual irrespective of their race, colour, religion, gender, ****** orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we’ll work to help you become a better you!
We are looking to hire a Physical Chemistry Modeller in our Digital R&D Team based in Bangalore:
Unilever is a leading multi-national “Fast Moving Consumer Goods” company, with world leading brands such as Dove, Axe, Surf, Comfort, Knorr, and Magnum. It has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology.
To meet the sustainable business growth challenges of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development through a Digital Transformation program. The Digital R&D team is leading this transformation through advanced applications involving modelling and analytics to drive speed, efficiency, and connectivity. This requires continuous growth of leading-edge machine learning, modelling, simulation, statistics & data science expertise.
The Modelling & Analytics team for product formulation, process engineering and packaging is part of the cross Unilever Digital & Partnerships Group. We exploit leading edge modelling and simulation expertise to support products and brands across all Unilever’s business groups in Nutrition, Ice Cream, Beauty and Wellbeing, Personal Care and Home Care. The team creates modelling solutions for the scale up of manufacturing processes, packaging and to deliver functionally superior formulations to design sustainable, superior and scalable products and processes with increased speed to market and lower costs. The three key tasks of the team are (a) provide leading edge modelling solutions, (b) define and internalise long-term science related modelling solutions to the benefit of Unilever. (c) act to foster, train and enhance modelling skills and solution across R&D.
JOB PURPOSE
The strategic aim of the Digital and Partnership group is to help contribute to the ongoing digital transformation of Unilever via provision of advanced training, enabling systems and modelling tools to drive R&D speed, efficiency and connectivity. In this regard the Modelling and Analytics team has the responsibility to develop and deliver leading edge modelling, simulation, machine learning, statistics and data science expertise and tools. This role will focus on the range of physical science, informatics and soft matter modelling to support our R&D and help it translate directly to the business.
The ideal candidate will bring their core skills and a desire to adapt and learn. A strong background in applied chemistry is required but with a strong supporting set of skills in modelling (computing) and analytics. Your chemistry skills should include physical chemistry, thermodynamics, solution state chemistry - soft matter would also be an advantage. Your modelling experience can be from a range of disciplines including applied math (solution equilibria, soft matter), molecular modelling, informatics, machine learning or statistics. The focus will be to provide leading edge mechanistic and data driven insights into ingredient chemistry and formulation physics along with the behaviours of these formulations in real use situations. Work is interdisciplinary, global, highly networked through project activities with our business groups and our external network of science partner universities. The products and brands we support span all Unilever Business Groups: Home Care, Beauty & Wellness, Personal Care, Ice Cream and Nutrition.
We are looking for a creative and entrepreneurial chemistry-based modeler who wants to help us to deliver in both our immediate and long-term ambitions. You will enjoy learning, combining methods and tackling new challenges as well as engaging with scientist partners to devise new ideas. You will have a passion to learn about our product technologies and in seeing your models contributing to our business. You will be an excellent communicator with a passion to engage with and support people, in particular you will enjoy diversity of contact – many stakeholders and many regions.
Responsibilities
Grow and apply your skills by engaging in one or more areas of modelling and apply to Unilever physical science domains using and learning to combine expertise in any one of informatics, machine learning methods or soft matter modelling / simulation.
Play a leadership role for the Bangalore based members of the Modelling and Analytics team working with the UK based Global Head to grow the standing and credibility of the team, represent the team in site activities and forums and to support the professional development of the Bangalore based team.
Help develop and eventually lead the modelling strategy for physical chemistry, thermodynamics, soft matter physics and solution state chemistry themes
Help co-ordinate selected external modelling activities, translate, steer direction and act to support most effective dissemination of outcomes and actions.
Work in partnership with Program Leaders to formulate applied research, articulate milestones and deliver them on time.
Embrace the global way of working across Unilever R&D sites, promoting global mindset and collaboration.
Promote the internal dissemination of results and ideas and bank them through reporting, external publication and IP opportunities arising.
Support democratization of models and ensure the right models are developed to work in practice (suitable for our fast-paced environment).
All about you
A PhD or equivalent in Physical Chemistry / Materials Chemistry with a demonstrated understanding in any physical science related modelling using informatics, machine learning, or solution state or soft matter molecular simulation.
A desire to learn and apply your newfound skills and knowledge to exciting challenges will be supported by the Global Head of Modelling and Analytics to allow you to gradually take on more responsibility
Track record of delivery.
The ability to work effectively across multiple sites and functions.
The ability to present and communicate in a compelling, efficient and effective manner, even outside the R&D audience.
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that strive to improve the lives of our consumers and the communities around us every day. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.
At HUL, we believe that every individual irrespective of their race, colour, religion, gender, ****** orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we’ll work to help you become a better you!
We are looking to hire a Physical Chemistry Modeller in our Digital R&D Team based in Bangalore:
Unilever is a leading multi-national “Fast Moving Consumer Goods” company, with world leading brands such as Dove, Axe, Surf, Comfort, Knorr, and Magnum. It has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology.
To meet the sustainable business growth challenges of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development through a Digital Transformation program. The Digital R&D team is leading this transformation through advanced applications involving modelling and analytics to drive speed, efficiency, and connectivity. This requires continuous growth of leading-edge machine learning, modelling, simulation, statistics & data science expertise.
The Modelling & Analytics team for product formulation, process engineering and packaging is part of the cross Unilever Digital & Partnerships Group. We exploit leading edge modelling and simulation expertise to support products and brands across all Unilever’s business groups in Nutrition, Ice Cream, Beauty and Wellbeing, Personal Care and Home Care. The team creates modelling solutions for the scale up of manufacturing processes, packaging and to deliver functionally superior formulations to design sustainable, superior and scalable products and processes with increased speed to market and lower costs. The three key tasks of the team are (a) provide leading edge modelling solutions, (b) define and internalise long-term science related modelling solutions to the benefit of Unilever. (c) act to foster, train and enhance modelling skills and solution across R&D.
JOB PURPOSE
The strategic aim of the Digital and Partnership group is to help contribute to the ongoing digital transformation of Unilever via provision of advanced training, enabling systems and modelling tools to drive R&D speed, efficiency and connectivity. In this regard the Modelling and Analytics team has the responsibility to develop and deliver leading edge modelling, simulation, machine learning, statistics and data science expertise and tools. This role will focus on the range of physical science, informatics and soft matter modelling to support our R&D and help it translate directly to the business.
The ideal candidate will bring their core skills and a desire to adapt and learn. A strong background in applied chemistry is required but with a strong supporting set of skills in modelling (computing) and analytics. Your chemistry skills should include physical chemistry, thermodynamics, solution state chemistry - soft matter would also be an advantage. Your modelling experience can be from a range of disciplines including applied math (solution equilibria, soft matter), molecular modelling, informatics, machine learning or statistics. The focus will be to provide leading edge mechanistic and data driven insights into ingredient chemistry and formulation physics along with the behaviours of these formulations in real use situations. Work is interdisciplinary, global, highly networked through project activities with our business groups and our external network of science partner universities. The products and brands we support span all Unilever Business Groups: Home Care, Beauty & Wellness, Personal Care, Ice Cream and Nutrition.
We are looking for a creative and entrepreneurial chemistry-based modeler who wants to help us to deliver in both our immediate and long-term ambitions. You will enjoy learning, combining methods and tackling new challenges as well as engaging with scientist partners to devise new ideas. You will have a passion to learn about our product technologies and in seeing your models contributing to our business. You will be an excellent communicator with a passion to engage with and support people, in particular you will enjoy diversity of contact – many stakeholders and many regions.
Responsibilities
Grow and apply your skills by engaging in one or more areas of modelling and apply to Unilever physical science domains using and learning to combine expertise in any one of informatics, machine learning methods or soft matter modelling / simulation.
Play a leadership role for the Bangalore based members of the Modelling and Analytics team working with the UK based Global Head to grow the standing and credibility of the team, represent the team in site activities and forums and to support the professional development of the Bangalore based team.
Help develop and eventually lead the modelling strategy for physical chemistry, thermodynamics, soft matter physics and solution state chemistry themes
Help co-ordinate selected external modelling activities, translate, steer direction and act to support most effective dissemination of outcomes and actions.
Work in partnership with Program Leaders to formulate applied research, articulate milestones and deliver them on time.
Embrace the global way of working across Unilever R&D sites, promoting global mindset and collaboration.
Promote the internal dissemination of results and ideas and bank them through reporting, external publication and IP opportunities arising.
Support democratization of models and ensure the right models are developed to work in practice (suitable for our fast-paced environment).
All about you
A PhD or equivalent in Physical Chemistry / Materials Chemistry with a demonstrated understanding in any physical science related modelling using informatics, machine learning, or solution state or soft matter molecular simulation.
A desire to learn and apply your newfound skills and knowledge to exciting challenges will be supported by the Global Head of Modelling and Analytics to allow you to gradually take on more responsibility
Track record of delivery.
The ability to work effectively across multiple sites and functions.
The ability to present and communicate in a compelling, efficient and effective manner, even outside the R&D audience.
💡 Quick Summary
Seeking a career-building opportunity? The Manager | Physical Chemistry Modeller position is now open for candidates interested in the Bank Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.