Job Openings at Unilever- (3 Positions)

MAIN JOB PURPOSE:

• To facilitate and implement sustained World Class Manufacturing practices and to promote continuous improvement and growth.

JOB SUMMARY:

UMS implementation: Introduces, sells and champions UMS best practices as per the UMS module

• Customizes the best practices designed by consultants to suit the needs of the environment
• Drafts a UMS Action Plan with the Departmental Manager and Task Force, to assess the UMS Process
• Manages the process of implementation by tracking progress, communicating barriers at higher levels and coordinating area committees
• Provides logistical support for UMS implementation by planning and coordinating meetings, workshops and team building
• Identifies learning gaps.  Either conducts training or arranges training for operators to bridge these gaps.

Safety: Ensures the safe operating of the plant within the UMS Guidelines

• Trains role-holders to look out for Safety Hazards within the production process and contacts the relevant people to improve on the areas. E.g. Lighting, ergonomics, storage and firefighting
• Determines the safe cleaning and hygiene operational procedures, which facilitates the drafting of SOP’s (Standard Operating Procedures) in the plant
• Cost Deployment: Consolidates Loss Data from the Plant and aids BPCD pillar lead in compiling BPCD Matrix
• Is responsible for the control and execution of work against a budget and authorisation of work within authority limits
• Investigate areas of improvement within the plant to optimise system and reporting functionality

Training: Actively pursue opportunities for improvement within the plant, which are highlighted in terms of UMS / 5s and co-ordinate the rollout on the improvements

• Champion all UMS Pillars and system audits held throughout the year
• Ensure that all continuous improvement projects, are documented and visualised in terms of UMS
• Ensures that all plant-based performance measures, are sourced, updated and displayed on the UMS Board
• Identifies Training and Developing needs by consulting with the PD pillar to determine loss-based development plans and activities
• Supports PD pillar in the development of Departmental Competency Matrix
• Supports PD pillar in Planning and designing Training & Development programs (e.g. program writing and development)
• Supports PD pillar by Delivering Training and Development programs (e.g. coaching, presentation, facilitation etc)
• Reviews progress and assesses achievement (e.g. Standard Operating Procedures (SOP) writing, Plan Job Observation Performance)
• Maintains and reviews training cycle (e.g. problem solving)
• Continuously improves the effectiveness of training and development by conducting research
• Schedules, tracks, reports and records training

Additional responsibility

• Support for setting up and prioritising cells for Run to Standard implementation
• Custodian and gate keeper for Manex Data Collection systems.

KEY REQUIREMENTS:

• Engineering Diploma (Mechanical/Chemical) or relevant National Diploma and at least 1year experience in the factory or similar environment
• Proficient on Excel, MS Project, MS Word, Power Point, MS Photo Editor
• Problem solving and excellent communication skills

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MAIN JOB PURPOSE:

The key responsibility of the Automation Analyst will be to own and manage the hub automation strategy, execution and alignment with iOps strategy. The iOps automation analyst provides support to all core plan, execute, deliver and collect services in iOps organisation.

CORE ACCOUNTABILITIES:

• Own the strategy for automation and alignment with iOps Technology and tools
• Ensure standardised approaches to automation and coordinate best practice sharing across iOps organisation
• Identify automation opportunities aligned with global iOps strategy and continuous improvement
• You'll deliver new and innovative automation solutions on the iOps Technology platforms focusing on business outcomes
• You'll be working closely with key stakeholders across iOps – product owners, lifecycle leads, operational hub teams, global iOps teams
• You will work closely with the global Automation Factory, aligning to standards and ways of working
• You'll win over hearts and minds as your service is intrinsically linked to supporting our digital and cultural transformation
• You'll support employees by challenging poor practices/the status quo, whilst building meaningful relationships allowing influence across internal and external customer groups
• You’ll constantly innovate, utilising standard platform features and enablers
• Ensure automations are documented, tested and deployed within the Operational Hub
• Maintain a register of all Operational Hub Automations and ensure this is kept current
• Ensure automations are updated and tested for all planned platform upgrades
• Support knowledge management in the operational hub
• Engage key functional and regional stakeholders
• Provide input into KPI and performance measurement for iOps. Your work will allow employees to interact and collaborate with the iOps
• Operational Hub in a consistent and intuitive fashion.

KEY REQUIREMENTS

• Bsc Comp Science, Comp Engineering, B Tech, Diploma Information Technology, Bsc Informatics, B com
• Bsc Comp Science, Comp Engineering, B Tech, Diploma Information Technology, Bsc Informatics, B com
• The ability to work in a diverse and globally distributed environment
• Whilst not essential, have knowledge of automation technologies, but certainly an interest and passion to learn
• Strong overall knowledge of wide areas of plan, execute, deliver, collect and related lifecycles
• Be able to show examples where you've had to adapt and learn quickly to meet challenges and be flexible to adjust to changing business outcomes
• Preferably knowledge of Agile methodologies/practices e.g. Scrums and Sprints and able to demonstrate the active practice and implementation of these techniques
• Ability to develop a strategy and direction for automation
• Confident leadership and influencing style, being able to make an impact with various teams
• Excellent communication skills
• Ability to inspire confidence in delivery, a strong service focus, and the ability to make sound decisions
• Good networking and influencing skills
• Passionate and providing an excellent user experience
• Significant self-motivation and focus to achieve the objectives of the role
• Ability to work well with peers and demonstrate lateral influence

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MAIN JOB PURPOSE:

You are a data scientist with a passion for data, data science, AI and ML, demonstrating understanding of the advances data science models and their application into the business. This role will focus on understanding and optimising the Unilever Business, building advanced and repeatable data science models that enable the business to make better decisions, drive 4G, and gain competitive advantage.

Main accountabilities:

• Understand the business problems and how to deliver relevant insights that lead to actions
• Gather data and build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics
• Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
• Support product teams scaling models into low-touch solutions to provide optimal ROI from data science5. Work on in-market business problems coming from CCBTs, CD, Finance and CLT. Identify common themes to build repeatable models and partner with CD, CCBT, Finance leadership to support 4G growth though data and analytics, and / or advance the next phase of NRM
• Position analytics as a tradable “currency” with customers to gain competitive advantage
• Drive new value from insights from connecting external and internal data sources
• Innovate new data and analytic methodologies driven by local needs which feed into I&A’s global product pipeline

EXPERIENCE AND QUALIFICATIONS NEEDED:

Standards of Leadership Required in this Role

• Personal Mastery (Data-science and advanced analytics)
• Agility
• Passion for High Performance
• Business Acumen

Key Skills Required

Professional Skills

• Machine learning forecasting techniques Fully Operational
• Statistical modelling Fully Operational
• Operational research and supply chain Working Knowledge
• Optimisation techniques and tools Fully Operational
• Manipulating multi-source data Fully Operational
• Python coding Fully Operational
• Cloud architecture (preferably MS Azure) Working Knowledge
• Simulation packages e.g. Anylogic Working Knowledge
• Distributed computing (Hadoop, Spark) Working Knowledge

General Skills

• Project Management Working Knowledge
• Communication / presentation skills Working Knowledge
• Strong communication skills and ability to work with peers and demonstrate vertical and lateral influence.
• Limitless curiosity and imagination to create novel business solutions

RELEVANT EXPERIENCE:

• B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Engineering, or Mathematics)
• 1-4+ years’ work experience in a data science role with significant focus on large scale and/or unstructured data
• Experience managing projects from start to finish
• Passion for empirical research and for answering hard questions with data
• Ability to apply an agile analytic approach that allows for results at varying levels of precision
• Ability to communicate complex quantitative insights in a precise, and actionable manner to business leaders
• Strong track record in solving analytical problems using quantitative and machine learning approaches
• Working knowledge in common machine learning techniques such as Random Forests, Boosting,
• Regularized Regression, Naïve Bayes Classifiers
• Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector
• machines, Reinforcement learning and Bayesian networks
• Working knowledge in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
• Deep experience in testing and measurement (A/B, multivariate, inferential measurement e.g.
• Causal Impact)
• Deep experience working with and coding in R, R Shiny, Python Working knowledge of data visualization concepts in reports (Power BI) and specialist tools (D3 or equivalent)
• Knowledge of extracting and combining complex, high-volume, high-dimensionality data from multiple sources (enterprise, proprietary, IoT, public domain), including unstructured data (comment threads, audio, video)
• Working knowledge working with large data sets, experience working with distributed computing tools a plus (Apache Spark, Hive, Impala)
• Working knowledge working in Microsoft Azure and scaling analytic products over GPUs in the cloud

KEY INTERFACES:

Internal

• Unilever SA Business leaders and subject matter experts
• I&A Business Insights Team
• CD Directors
• CCBTs key leaders and team members
• I&A Global Product Owner
• I&A in-market data scientists
• I&A in-market data experts
• I&A in-market data analysts
• Global business topic Subject Matter Experts
• Analytics and Data Science product peers

External

• Data Science meet-ups
• Partner Analytics and Data Science Contractors
• Targeted Universities for developing innovations