Jobs at Unilever

Job Summary

The Team Lead is a management professional with a good technical understanding of manufacturing and general food technology. Team Leads should ideally have proficient mechanical skills and display excellent personal and leadership qualities.

The TL leads a shift consisting of several teams.  The TL is responsible for the safety of those on the shift, the quality of production and the quantity produced against business requirements.

Leading improvement projects for operational processes, TL have a strong understanding of the end to end manufacturing process. This includes the food and electro-mechanical processes and controls. She/he is able to interpret technical diagnostics, identify key issues and process risks. TL possess the leadership skills to act with speed and rigour.

She/he understands the factory’s financial situation and use their training in continuous improvement methodologies to drive the team’s work to counter losses and eradicate waste. They lead project work to support factory initiatives. Skills for problem solving, coaching and innovating are central to the role. The TL provides a common standard of communication and engagement across the factory. They liaise closely with the core factory functions, including Engineering, Planning, HR, Quality and Safety to achieve this.

Main Job Purpose

• Leadership. Promote the development of a highly effective team through the establishment of a positive team climate supported by authentic leadership and clear communication.
• Technical. Effective mechanical skills supported by detailed knowledge of the end to end manufacturing processes relevant to their operation and endorsed Good Manufacturing Practice. Knowledge of food and electro-mechanical processes and principal factory controls.
• Preventative maintenance schemes and condition monitoring (e.g. vibration analysis).
• Hazardous Area Equipment and Hazards specific to operation.
• Online/remote diagnostics to connect with category technical experts.
• Safety. Utilise appropriate safety and environmental procedures for people, processes, materials, products and equipment to ensure a safe working environment for the whole team. Full knowledge of hazards in the workplace.
• Environment. Reduce costs due to waste and minimise impact to health, safety and the environment through working to eliminate waste and through the correct management of waste and hazardous materials.
• Facilitation and Coaching. An ability to facilitate technical improvements using continuous improvement tools. Able to coach Operators to build team performance and responsible for administration of Unilever disciplinary matrix.
• Decision Making. Makes governance decisions for the team and adjudicates on unresolved team issues. Sets the strategy for Continuous Improvement and Preventative Maintenance in her/his area guided by loss trends and direction provided by the SUD and Engineering Managers.
• Continuous Improvement. Apply rigorous Cost Deployment and the Zero loss concept to eliminate losses. High skill level in Continuous Improvement that is aligned closely with World Class Manufacturing and LEAN methodologies.
• Problem Solving. Has the ability to identify, prioritise and address problems using appropriate tools and techniques that eliminate recurrence.
• Quality. Apply core knowledge of Quality skills; Quality Measurement, Prioritisation, Improvement, Assessment and Certification etc to sustain Quality standards in the factory operation.
• Management. Able to coordinate business resources and apply risk management processes. Keen sense of prioritisation and ability to influence change. Resolve conflicts where identified.
• Administration. Timely and accurate administration for a cluster of teams; shift rosters, time keeping, pay, performance, training and safety. Liaise with Sourcing Unit leads to ensure policy compliance.
• Planning and Organising. Prepare work plans within resource constraints and review implementation to drive improvement.
• Systems. Responsible for execution of stock counts and SAP material movements to support effective raw and packaging material control.
• Business Awareness. Understand the business needs for change and innovation.

Key Requirements

• National Diploma / Degree or Technical, Food and Engineering related.
• Over 3 years’ experience in a Team Lead Role
• Diploma level in a nationally registered management programme typically covering leadership and managing change, human resources management, organisations and behaviour, business strategy and decision making.

CLOSING DATE: 29th, July 2022

go to method of application »

MAIN RESPONSIBILITIES

• Complete all learnership requirements as stipulated by Unilever, including but limited to training attendance, assessments completion, project completion, logbook completion and presentations as needed
• Follow SOP procedures as needed within the operation assigned to
• Conform to all site rules governing safety of self and others, quality and code of business principles

KEY REQUIREMENTS

• Grade 12 with minimum 50% pass mark for Core Mathematics & Physical Science
• Completing a National Diploma in Industrial Engineering
• Requiring P1 & P2 work experience
• Use of computer software programs – Microsoft Excel, PowerPoint and Word is essential
• Good communication skills both written and verbal – proficient in English

go to method of application »

MAIN JOB PURPOSE: Supports Quality Management Systems and Hygiene agenda for site by ensuring testing and analysis of raw and packaging materials is carried out without interruption to manufacturing and packing operations.

JOB SUMMARY:

• Analyses chemical Raw and Packaging Materials and ensure conformity to specification and to report when off specification occurs
• Preparation and standardization of Laboratory Reagents
• Create a system to receive waybill from Warehouse for every receipt of raw materials and document
• Inspect offloading of raw materials and weigh representative samples to confirm declared weight
• Take samples and analyse against specifications
• Record your readings, release good materials and reject if it failed the confirmatory tests
• Problem solving when defective RM’s and PM’s are received and act with speed to ensure a resolution
• Provide feedback to the shop floor on RM/PM related quality issues
• Raising of E incidents and follow up on corrective actions
• Conduct supplier audits and coordinate meetings with suppliers and procurement
• Conduct internal audits of the warehouse and laboratory results
• Implement a quality assessment of pallets and audit the warehouse
• Trend and analyse all raw material results
• Ensure all shift analyst are trained on testing procedures on raw and packaging materials
• Ensure all rejected RM/PM are written off, SMA raised and coordinate the movement of the stock back to supplier
• Timeous input or results and release of materials off SAP
• Batch management system of new materials arriving on site
• Active involvement in any changes and introduction of new raw and packaging materials on site including inspect all trial material prior to a trial
• Finished products line inspection for assigned lines when required
• Report any non-conformance on the shop floor
• Daily factory walk about and record quality issues
• Ensure that all jobs are done safely, without negative impact on the environment
• Ensure all RM and PM specs are current an available at point of use
• Top RM and PM losses to be identified and collaborative work with R&D and procurement
• Support with trials

KEY REQUIREMENTS:

• Completed Biotechnology or relevant Degree
• Completed Course in Packaging material, specifically plastic will be an advantage
• 3-5 years experience within FMCG/ Manufacturing environment
• Experience in factory quality field
• Proficient QMS & SAP QM experience

go to method of application »

MAIN JOB PURPOSE:

You are a data scientist with a passion for data, data science, AI and ML, demonstrating an understanding of the advanced data science models and their application into the business. This role will focus on understanding and optimising the Unilever UKI Business, building advanced and repeatable data science models that enable the business to make better decisions, drive 4G, and gain a 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 science
• 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 through data and analytics, and/or advance the next phase of NRM
• Position analytics as a tradable “currency” with customers to gain a 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., Analogic 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 a significant focus on a 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 o 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. CausalImpact)
• 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 UK 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

go to method of application »

JOB SUMMARY:

• Maintains the quality systems in conformance with internal policies (Ekaterra, ISO, Plant) and external requirements (customer, regulatory agency, registrar) including the development and improvement of GMP and HACCP plans
• Develop department personnel and development of departmental quality goals. Key leader in continuous improvement programs for quality, safety, cost and service
• Manages programs required for the control of nonconforming products, Product identification and traceability, laboratory methods and calibration, inspection and test systems, document and records control.
• Reviews and approves procedures, work instructions, work standards, specifications, preventive and corrective actions. Works with external parties in identifying risks in innovations, trials and ensuring successful trial completion on all quality aspects.
• Manage department spending & cost reduction projects.
• Positively coordinates activities, supports quality team and extended team and provides area of expertise. Manages recalls and product incidents on site with GTM.
• Identify top consumer, customer and CRQS continuous improvement projects to be developed and implemented with a multifunctional team
• Quality Assurance - develop and implement appropriate verification programs and systems to manage product quality and minimize non-conformance
• Manage dept personnel - develop departmental personnel to effectively execute the requirements of the quality system as they apply to the QA department. Set performance standards, provide feedback & follow up
• Decision Making - Making technical decisionsthat involve risk assessment and compliance, which can affect both product costing and customer satisfaction
• Developing Others - Develop training and communication programs in support of continuous improvement in of quality and safety. Develop appropriate technical skills within work group and general plant population
• Technical Leadership - Design and implement elements of the quality system, obtain and communicate
• technical information as appropriate to plant process and in support of operations improvement
• Cost Management - Manage the cost of compliance with the cost of non-conformance constantly seeking
• to find the least cost approach to assuring Ekaterra and Customer requirements are met. Develop budgets
• for department and work to reduce costs.
• Comply with Ekaterra Policies for SHE and Quality.
• Tea laboratory & tasting - manage the creation of blends that comply with spec for blend recipe, organoleptic and
• analytical analysis using prescribed test methodology. Ensure there’s enough blends for all tea types in line with
• production plan and maintain two blends that are ready for blending in the file at all times.
• Manage stock rotation (FIFO) during blends creation to eliminate the risk of stock aging on site
• Manage the adherence to blend cost targets / forecast as agreed with finance and procurement team.
• Maintain rework approval records and Include rework usage instructions to blend sheets according to GMP standards and rework procedure.
• Prepare complaints samples and competitors sample for sensory evaluation as an when required.
• Blending and rework process - oversee the blending & rework process audits on WIP, rework.
• Advise whether blended tea can be released to packing lines.
• Ensure shredded rework and addition is according to rework procedure / GMP requirement.
• Ensure only approved rework is used and traceability is maintained.

KEY REQUIREMENTS:

• Completed BSc/ BTech Degree
• 3-5 years QC Supervisory experience within a manufacturing or QA environment
• Must have solid experience with HACCP, interpreting regulations, customer requirements, specifications and
• develop quality systems aligned with GMP standards that are effective and workable within general plant capabilities
• Proficient experience with process and package improvements and innovations that drive cost reduction
• Strong leadership and management experience, budget and cost reduction and project management experience

Application Closing Date: 26th, July 2022

go to method of application »

MAIN JOB PURPOSE:  

• To provide multidisciplinary engineering skills to achieve breakdown reduction and factory performance targets through the application of EM and AM methodologies.

KEY RESPONSIBILITIES: 

Engineering

• Diagnoses and interprets multi-disciplinary problems (fault finding) to optimize production output and with own team carries out the plant repairs.
• Ensures that service levels are maintained at the required standards by carrying out all breakdown, preventative, and predictive maintenance effectively.

PM

• Is responsible for the reduction of breakdowns in his area of responsibility by analyzing breakdowns, complying with the PPM requirement, and implementing Continuous improvements.
• Participates in strategic engineering plans to deliver maintenance and breakdown reduction benefits (RCM). Delivers PM KPI’s

Problem Solving and Decision Making

• Responsible for faultfinding and problem solving of engineering/ operational problems in his area by ensuring that the appropriate corrective action regarding any deviation from standards is taken.
• Identifies the major engineering losses in his area and investigates using Kaizan problem solving methodology. (Fishbone, 5 Why etc.)

Administration

• Completes all required documentation to standard and captures SAP, maintenance, and stores information on relevant data system.

SHE

• Ensures that Company safety rules and regulations are adhered to within the sphere of his responsibility.
• Implementation and assists with maintaining Unilever safety and 5S standards in the area on responsibility.

AM

• Draws up, Coaches, and develops engineering skills to other maintenance and operational staff using OPL and SOP’s.
• Completes tags in his area of responsibility to the completion ratio required

KEY REQUIREMENTS

• N3 (Mechanical) and N3 (Electrical or Instrument) with 3 years relevant experience in manufacturing environment.
• Engineering Skills (Multiskilled Artisan skill cluster).
• PC Skills (SAP PM, Outlook, MS PowerPoint / Word).
• Problem Solving Skills