Data Scientist – Forecast Engine Utility Innovation

Key Skills

Aartificial intelligence, Algorithms, Data science techniques, Large data sets, Machine learning techniques, Object-Oriented programming (OO languages), Optimization

Job Description

Forecast engine utility (FEU) is the Unilever’s inhouse AI/ML based demand & promotion forecasting solution. Data Scientist (Innovation) role under FEU will be responsible for research and development of state of art large scale demand forecasting and promotion planning algorithms. Objective of this role is to improving forecast KPIs globally via scalable ML/AI methods. Key Responsibility of this role will be to develop innovative machine learning solutions for large scale demand forecasting solutions. These innovative ML models will have potential to scale across all Unilever market (100+ countries).

Who You Are and What You'll Do

• Execute data science innovation topics for Forecast Engine Utility and Integrated Business operations to deliver global forecast KPIs
• Research and develop algorithms/Model to improve large scale demand forecasting problem (+billions of timeseries). Build, maintain, and improve new and existing suite of algorithms and their underlying systems.
• Document and Develop technical solutions aligned with business objectives; identify gaps between the current and desired end-states
• Analyse the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
• Actively contribute to and re-use UL DS community best practices.
• Contribute to the AI innovation and build thought leadership via publications/patents and presence in industry/academic conference. Further, actively contribute towards establish innovation team as thought leader in demand forecasting within the CPG industry.
• Working in an agile environment with globally distributed teams.
• Write efficient and well-organized ML based software to ship products in an iterative, continual-release environment.

What You'll Need to Succeed

• 3+ years of relevant experience with skills in Timeseries models, Machine Learning, Optimization and object-oriented programming with large data.
• Bachelor's degree required; master's Preferred.