Unilever Hiring - MSc/PhD Chemistry R&D Job Vacancy

Unilever Hiring MSc/PhD Chemistry R&D Job Vacancy

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Job Title: BW R&D Modelling & Analytics Manager

Location: Port Sunlight R&D or Bangalore/Mumbai

Eligbility Criteria: 

  • A M.S or PhD or equivalent in Physical chemistry, Materials chemistry, or Physics with a demonstrated understanding in any physical science related modeling using informatics, machine learning, or molecular simulation.
  • Track record of delivery in the application of data analytics and modelling.
  • Hands-on experience with professional modelling software such as SAS, Python, R, MATLAB and JMP.
  • Hands-on technical expertise in data visualization.
  • The ability to work effectively within teams across multiple geographies and functions.
  • The ability to present and communicate in a compelling, efficient, and effective manner to experts and non-experts.

STANDARDS OF LEADERSHIP

  • Passion for high performance – Generates intensity and focus to motivate people to deliver results at speed.
  • Talent catalyst – Inspires powerful teamwork and collaboration, connecting people for better results.
  • Agility – constantly exploring and learning, flexing style and plans for impact.

JOB PURPOSE

Recognising the increasing importance of

digital in achieving our ambition, Beauty & Wellbeing R&D is establishing a small RD Digital Operations Team: Digital Change Management, Data Governance & Quality, Data Analytics, and predictive Data Modelling.

Part of the BW R&D Digital Operations Team and reporting to the Head of BW R&D Digital, the BW R&D Modelling & Analytics Manager will play a key leadership role in the definition and execution of a BW R&D modelling programme, and associated data science workstreams, to support BW Innovation Design and Science & Technology programmes.

RESPONSIBILITIES

  • Lead the definition and execution of a modelling programme to support BW Innovation
  • Design and Science & Technology with input from BW Digital Transformation Squad, appropriate domain experts and data scientists, Digital & Partnerships R&D, and UNIOps.
  • Delivery of priority modelling projects through the: design and planning of experiments, analyses of data, building and validating predictive models and execution of these models with non-experts.
  • Develop modelling capability and capacity across BW R&D through training, internal Communities of Practice and engaging external partners and specialists.
  • Continuous learning initiatives to keep abreast of state-of-the-art modelling & optimisation methods.
  • Identify and manage 3P suppliers for capability infusion where needed to deliver program.

Apply Online

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