Global Data Scientist Nutrition

Unilever

Unilever, a global leader, impacts the lives of 3.4 billion people daily with its brands in over 190 countries. The Foods R&D team, part of the largest business group, is seeking a Global Data Scientist Nutrition to drive digital transformation through advanced data analytics and modeling. Working at Unilever offers the opportunity to contribute to a purpose-driven company committed to making sustainable living commonplace.

In this role you can expect to have the responsibilities:

• Identify and propose data-driven projects for business growth and process automation.
• Translate business requirements into technical specifications for model development.
• Extract and analyze data from sources such as SAP PLM and R&D Datalake.
• Manage end-to-end project delivery from data extraction to model deployment.
• Collaborate with developers to implement models for users.
• Provide data modeling expertise to enhance R&D projects.
• Work with internal systems teams to facilitate model development.
• Keep abreast of AI research and integrate new techniques.
• Document models thoroughly to ensure knowledge transfer.

This role comes with the following benefits:

• Attractive total remuneration package with pension, bonus, and share scheme.
• Flexible career opportunities and training resources.
• Company-paid holidays and work-life balance perks.
• Inclusive culture with paid paternity leave and diversity policies.
• Hybrid Working principles with home office equipment support.
• Access to canteen with company products and fitness plan discount.
• Home work allowance and provision of company laptop and mobile.
• Green Mobility Policy.

This role requires you to have:

• Data Science
• Machine Learning
• Python
• R
• Deep Learning
• SQL
• Data Modelling
• Communication

You would benefit from having:

• Natural Language Processing
• Reports & Visualisations
• Analytics Programming
• DevOps
• Scala
• Java

Unilever is an Equal Opportunity Employer promoting diversity. They encourage applications from individuals after career breaks and emphasize gender diversity at the workplace.