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Position Summary

People, passion, perfection. At the core of what we do at Nestlé,  we’re led by a commitment to the health and wellness of our customers, a passion for quality and perfecting our promise to deliver good food and a good life. With over 308000 employees worldwide and a history that spans over 150 years, we’re known as “best place to work” and “the world’s biggest food and beverages company”. 

We're looking for a Section Maintenance Engineer to join our team in East London factory which produces chocolates & confectionary. As an Engineer your responsibility is to support and participate in the implementation and execution of the factory asset maintenance programme aimed to eliminate unplanned stops and optimise maintenance cost and as a result increase asset intensity.

A day in the life of a Section Maintenance Engineer

Manage existing assets - Planned maintenance:

• Actively participate in maintenance routines to ensure that maintenance activities are scheduled and executed in time with high quality

• Support and participate in the implementation maintenance methodologies (PM pillar , foundations), usually member of PM pillar

• Resposnible to ensure effective utilization of AMM system

• Master and coach breakdown analysis.

Manage existing assets - Budget management:

• Provide input for annual maintenance budget. Assist with the reporting and tracking of the maintenance budget. Analyse over/under spending in the area of responsibility and propose corrective actions

Build Engineering Capability:

• Support and participate in the competence building plan (CBP) for the maintenance team

• Build up maintenance methoggologies competencies within Engineering, on the topics from Roles and Responsibilities matrix

• Assist with the technical training program for all factory maintenance staff

• Build up AMM competencies within Engineering

Manage existing assets - Production support:

• Support the implementation AM pillar methodologies

• Support production to eliminate quality defects, safety risks and chronic technical issues

Define and adhere to standards:

• Support and participate in implementation of applicable standards.

• Ensure adherence to applicable standards in the area of responsibility

What will make you successful

• Experience in engineering management (maintenance, industrial , services, E&A ), preferably  in FMCG related manufacturing environment (min 3 years)
• Experience working in multifunctional team (i.e. capital projects, DMAIC) preferred. 
• Experience in managing maintenance budget
• Experience in facilitating capex projects
• Experience in managing site contractors

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Position Summary

• With a history spanning over 150 years, Nestlé didn’t become the world’s leading food and beverages brand by chance. Perfection is at the heart of what we do and our people are always looking for the next big idea to cement our status. We’re now looking for a Data Scientist & Marketing Analytics Manager at Bryanston Head Office.
• Working in Bryanston you will be responsible for Supporting our Product, Sales, Marketing and Leadership teams with insights gained from analysing data consolidated from various sources to better understand business performance and facilitate the development of AI tools that automate various processes within the company. Step change Nestlé’s digital marketing analytics capability to deliver the right performance metrics and insights across ESAR categories and Clusters with the right operating model. Connect consumer touchpoints performance to business value and start developing more predictive data models to identify and activate relevant audiences through 1st and 2nd Party data. This position will play a strategic role inform Nestlé's consumer data acquisition and activation strategy.

A day in the life of...
A Loyalty/Reward Programs Manager                                              

• Adept at using large data sets to find opportunities for product and process optimization whilst using models to test the effectiveness of different courses of action. A proven record of using variety of data mining/data analysis methods and data tools in building and implementing models, using/creating algorithms and creating/running simulations.                                               
• Define and deliver data science and business intelligence programs with the different teams (CRM, Website, audience, direct to consumers) and Build analytic models to identify Consumer experience gaps and identify opportunities.                                                 
• Mine and analyze data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques.                                                  
• Take hands on approach to develop & deploy cloud-based analytics solutions integrating 1P and 2P data for audiences targeting and messaging optimization. Pilot more predictive models to reach desired audiences’ cookie less world
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Joint development of advanced modelling together with Digital-on-Digital Media efficiency on top of Media Evaluation

What will make you successful

• Qualification in Statistics, Data Science or related technical discipline
• 3 years or more experience building and maintaining large-scale analytics systems
• Experience in Supply Chain / Retail /Marketing/Sales & eCommerce advantageous
• Statistical and programming skills (R/Python statistical and ML libraries), Interpret large data sets
• Experience with relational (Postgres, MySQL) and/or non-relational databases
• Advanced machine learning a plus
• Excellent communication skill and a strong team player
• Sound analytical and quantitative problem-solving ability
• 5-10 years’ experience in analytics and data science and /or decision science supporting marketing & sales functions. Preferably from an operational commercial unit (in market or cluster of markets)
• Strong experience as cross functional leader in Consumer Goods industry
• Experience in leveraging data for marketing and sales activation and analytics insights
• Ability to establish relationships, collaborate and influence across multi country, multifunctional matrix organization