Job Properties
  • Job Type
    Full-time Position
  • Background
    Engineering
    Finance and Economics
    IT
    Management & Business Others
    Marketing and PR
    Other Science and Tech
    Supply Chain and Procurement
  • Languages
    English
  • Experience Required
    1 - 2 Years
  • Degree Required
    Bachelor
    • Province
      7,288 reviews
    • Date Posted
      May 01,2021
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    • internship package

    Global Machine Learning Forecasting Design & Integration Lead

    Global Machine Learning Forecasting Design & Integration Lead

    ABOUT UNILEVER

    Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Persil, Dove, Knorr, Domestos, Hellmann’s, Lipton, Wall’s, PG Tips, Ben & Jerry’s, Marmite, Magnum and Lynx. Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace’.

    Our Supply Chain teams play a vital role in getting our goods to consumers; from sourcing raw materials to manufacturing and delivering the end product. You could be finding a new way to get 12,000 liters of ice cream across the desert without it melting; or designing a more efficient distribution network to enable us to store and deliver our products sustainably to our customers. Our Global Supply Chain includes approximately 100,000 employees who work with over 70,000 suppliers and 1.5 million farmers. We manage a logistics network that transports across a distance of over 1.5 billion km a year.

    JOB PURPOSE:

    One of the key technologies under iOps (Integrated Operations) program is FEU, a Machine Learning-based forecasting engine that will ingest large volumes of internal and external data and use advanced ML algorithms to generate Unilever’s volume forecast. FEU is a major capability in the iOps tech landscape that would integrate with a lot of other key technologies that require volume forecast like Data Lake, ACTPM, Kinaxis/APO, TPA/TPO, AATP, CPFR, Jarvis, Hyperion etc.

    • This role is accountable for the design and performance of FEU that the team of vendor data scientists build in various markets.

    • This role is responsible for designing new features in the existing generation as well as future generations of FEU (innovations, segmentation, new model exploration with lead data scientist, R&O scenario analysis, new PBI views etc). This role will also be the FEU integration design lead who will help create the optimal integration design with existing or new technologies keeping in mind the end-state iOps process flow.

    • The role will also support markets on BAU and devise strategies for improved forecasting performance FEU. The global design & integration lead is expected to bring in strong domain knowledge, retail/CPG & data science expertise and stakeholder management skills to help keep the design of FEU up to date with seamless integration with adjacent technologies

    RESPONSIBILITIES:

    • Partner with global data science lead & vendor data scientists to conduct pilots to create logic for enhancements and upgrades as per relevant generation

    • Core part of global integration design team with Data Lake, ACTPM, Kinaxis, TPX, AATP, CPFR, Jarvis, Finance ML, Collaboration/workflow

    • Represent FEU in market-specific integration design discussions & sign off on customization requests

    • Provide design & data science support to the FEU BAs during the deployment phase to ensure timeline project delivery

    • Identify & create citizen data scientist training material in collaboration with PBS for upskilling of the DP & CD community

    • Track forecast metrics & support continuous improvement requests from FEU BAU markets

    ALL ABOUT YOU:

    • Strong analytical skills

    • Experienced operational practitioner in planning (especially forecasting & demand planning)

    • Thorough understanding of E2E iOPs design: process, org and tech

    • Experience of deployment of machine learning capabilities in other FMCG/CPGs an advantage

    Key interfaces:

    This role provides an E2E interface between the following stakeholder groups to successfully deploy FEU in the markets:

    • iOPs Design Authority (process, org, tech)

    • Global FEU Deployment Lead

    • Business and technical teams of adjacent technologies

    • Market SMEs

    EXCITED ABOUT THE ROLE?

    To apply, you must do so online. Please do not forget to upload your CV and a motivation letter. Your application will be reviewed against our requirements and we will be in touch shortly after the closing date to provide you with an update on the status of your application.


    Please note this is a Direct Search led by Unilever. Applications from agencies will not be accepted, nor will fees be paid for unsolicited CVs.

     
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