Job Description:
This role exists to support the Global Digital Insights Lead and Global Price Risk Management Function and become an expert in deploying Predictive AI (Artificial Intelligence) models to forecast ingredient and packaging costs for Mars Petcare. The role will support statistical analysis, model creation, and strategy development within the AI Forecasting tool. The data and insights will be used to drive price stability and cost savings for sourcing and price risk management teams, as well as Commercial and Financial leadership. Previous experience leading AI-centric projects is not required; however, a strong desire to learn and deploy innovative tools is essential. In a rapidly digitising world, this role provides an excellent entry into AI development and strategy.
What are we looking for?Bachelor’s Degree in Economics, Data Science, Mathematics, Finance, or Business with a preferred focus on Econometrics
Familiar with data analysis/visualisation tools such as SAS, Python, SQL, R, Stata, and Power BI
Proficient in statistical analysis/data science techniques: particularly time series modelling, regression analysis, scenario analysis, etc.
Can formulate a hypothesis, test, and validate new models, or can modify existing models by changing parameters or creating additional features
Passion for learning and promoting the use of tools such as Artificial Intelligence, Machine Learning, and Digital technologies to generate efficiencies
Prior experience in Consumer-Packaged Goods (CPG), food, agriculture, commodities or related industry
Demonstrated ability to succeed in a multi-cultural and remote-hybrid environment
Demonstrated ability to translate complex data analysis into clear business results for a variety of audiences
Excellent communication, business acumen, and stakeholder relationship-building skills
Creative problem solving and out-of-the-box thinking to drive efficiencies
Artificial Intelligence (AI)/Machine Learning (ML) Program: 70%
Be the first line of support between internal stakeholders and the external AI Forecasting platform and data providers to ensure the success of the AI cost forecasting platform.
Build AI models with the support of a third-party AI Platform provider using curated data sources and category knowledge to create accurate predictive models
Be able to interpret the models and concisely explain their outcomes and impact to the Mars commercial function
Prepare and give presentations to internal stakeholders, clearly communicating program progress and impact to the business
Lead and support continuous improvement projects within the AI Forecasting Platform
Help embed the AI platform into the sourcing strategy, along with other digital tools
Evaluate existing third-party data analysis techniques and scan the external market for best practices in AI/ML and forecasting tools
Data and Analytics support: 30%
Support Price Risk Management function, analysing commodity and ingredient costs using time series analysis, correlation tests, seasonality, cyclicality, etc.
Using internal and external data sources, develop S&D models and price analysis to drive future-oriented insights for key raw materials relating to animal proteins, speciality ingredients, and packaging categories
Provide data-driven insights and market trend analysis for global and regional category teams
Automate data sets and data visualisation using API’s, Excel, or other tools to generate efficiencies (Python, etc)
Work with diverse and talented Associates, all guided by the Five Principles.
Join a purpose-driven company, where we’re striving to build the world we want tomorrow, today.
Best-in-class learning and development support from day one, including access to our in-house Mars University.
An industry-competitive salary and benefits package, including a company bonus.
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Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.