Fresh Jobs at Mr Price Group

Job Description

• A Store Manager will lead a team of passionate associates in maximizing store sales/turnover, ensuring the stock loss benchmark is maintained and managing the administration of the store.

Responsibilities

• Promote sales. 
• Manage stock, and control expenses to meet business targets. 
• Achieve and/or exceed the required targets that are set out for the store. 
• Use store resources effectively to maintain the productivity of the store. 
• Encompass a thorough knowledge of stock and management of policies and procedures. 
• Act as the custodian of all company policies and procedures to ensure standards are met. 
• Assume accountability for the management and the training of all staff. 
• Maintaining the company culture by treating staff in a respectful and professional manner. 
• Ensure all interaction with customers results in an above-average customer service level. 
• Monitor the cleanliness and hygiene store and staff accordingly to ensure that it adheres to the relevant laws and company standards. 

Qualifications

• Matric / Grade 12, Mathematics an advantage 
• 2 years’ experience in a Retail Store Management or Assistant Store Manager role preferably in a similar retail  environment. 
• Excellent business English, both verbal and written  

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Job Description

• To lead and manage production operations within the DC, ensuring efficiency, cost-effectiveness, and compliance with health and safety standards. You’ll champion Lean principles, build strong teams, and create a culture where continuous improvement is simply how we work.

Responsibilities
What You’ll Do
Drive Operational Excellence

• Lead daily production operations to ensure efficiency, accuracy, and optimal workflow.
• Deliver against departmental KPIs while keeping a close eye on cost control.
• Embed Lean/Kaizen methodologies into day-to-day routines.

Elevate Processes

• Implement, monitor, and continuously improve SOPs.
• Use data and insights to reduce downtime and boost throughput.
• Lead operational excellence initiatives across the DC.

Lead & Grow People

• Coach and mentor supervisors and emerging talent.
• Build strong succession pipelines and high-performing teams.
• Drive a culture of accountability, collaboration, and development.

Champion Safety

• Ensure strict compliance with the OSH Act and internal safety standards.
• Maintain excellent housekeeping and foster a zero-harm culture.
• Proactively manage and reduce safety risks.

Qualifications
What You’ll Bring

• A Diploma/Degree in Production/Operations Management, Industrial Engineering, Business Management, or similar.
• 5–7 years’ experience in a production or warehouse environment, with proven leadership capability.

Solid working knowledge of:

• Lean principles and continuous improvement
• People leadership and team development
• Budget management and cost optimisation
• Strong analytical, problem-solving, and decision-making skills

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Job Description

• This role will be instrumental in shaping our culture, enhancing organisational effectiveness, and supporting transformational change across the division. The ideal candidate will bring expertise in change management, project leadership, and stakeholder engagement to enable sustainable  improvements aligned with our strategic goals.

Responsibilities
Lead OD and Change Initiatives: 

• Design, manage, and implement organisational development and change projects that support business transformation and performance 

Stakeholder Engagement:

• The incumbent is expected to have strong interface with the group change and  engagement manager.
• Collaborate with senior leaders, HR partners, and cross-functional teams to ensure alignment and buy-in for change initiatives.
• Develop fit-for-purpose strategies that will guide how the division will create a great employee experience and high levels of engagement in the business.
• Design and manage programs designed to foster a great employee experience and high levels of engagement, covering the end-to-end people value-chain.
• Support leaders across the organisation to effectively engage with employees by equipping them the capability to interpret and turn employee sentiment surveys (long dated and near real-time) insights into actionable leadership interventions.
• Put systemic tools in place to proactively track engagement risks and establish corrective action.

Change Management

• Develop and execute change management strategies and plans, including communications, training, and impact assessments.
• Partner with senior stakeholders to define and lead the delivery of change management initiatives in support of organisational transformation efforts.
• Build change management capability in the organisation.
• Monitor and measure the effectiveness of change initiatives and devise and implement measures to course correct if initiatives are ineffective.
• Coordinate the development, documentation and implementation of business processes required to support change, accounting for targeted change interventions, employee sentiment monitoring and analysis, coaching plan and resistance management plans.

Project Leadership:

• Oversee project planning, resource allocation, risk management, and delivery of OD programs on time and within scope.

Capability Building:

• Support the development of leadership and team capabilities through targeted interventions, workshops, and coaching.

Data & Insights:

• Use diagnostics, feedback tools, and analytics to assess organisational health and inform OD strategies.

Continuous Improvement:

• Monitor and evaluate the effectiveness of OD initiatives and recommend improvements for future projects.

Qualifications

• 5-8 Years experience in Leading Change Management and or OD Projects.
• Post graduate degree, NQF level 8 or equivalent: Human resources, Industrial Psychology. 
• Proven experience in leading organizational development and change projects within complex environments. 
• Strong knowledge of change management methodologies 
• Excellent project management skills with the ability to manage multiple priorities. 
• Exceptional communication, facilitation, and stakeholder management skills. 
• Experience in designing and delivering learning and development interventions

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Job Description

• As a Sales Team Leader in a dynamic, multi-campaign call centre environment, you’ll drive team performance, ensure campaign excellence, and translate strategy into results. Reporting to the Team Manager, you’ll lead execution, coach your team, and deliver insights that shape future sales success.

Responsibilities

• Lead and manage 3+ concurrent credit sales campaigns.
• Ensure timely rollout and brand compliance across all campaigns.
• Monitor KPIs (lead volume, conversion rates, revenue) via CRM tools.
• Conduct regular 1:1 coaching and track individual performance improvements.
• Maintain team productivity and quality benchmarks.
• Deliver weekly performance reports with actionable insights.
• Collaborate with management and marketing to refine campaign strategies.
• Recommend data-driven improvements to messaging, targeting, and incentives.
• Share best practices and support onboarding for new initiatives.                                                  

Qualifications

• Matric 
• 3–5 years in sales within a call centre environment with proven target achievement.
• 1 year in a leadership role, preferrably in a multi-campaign call centre setting 
• Strong campaign management and performance tracking skills.
• Proficient in CRM systems (e.g., Salesforce, HubSpot).
• Knowledge of consultative and value-based selling.
• Strong analytical, coaching, and communication abilities.
• Familiarity with ethical sales practices and regulatory standards.       

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Job Description
Our new Machine Learning Engineer needs to tick 3 boxes!

• Mad programming skills
• A sound business sense
• A data driven self-thinker
• The bottom line? Your primary responsibility will be to turn our heaps of data into actionable insight and improved efficiency.
• The team you would be joining is responsible for driving decisions utilizing cloud data warehouse technologies, advanced visualization, data science, along with solid collaboration!

Responsibilities

• Apply Machine Learning, Optimisation and AI techniques to our data with the aim of improving our business.
• Improve our business through analyses and hypotheses testing.
• Communicate insights, results and analyses to stakeholders.
• Promote and facilitate data-driven business decisions.
• Building relationships & gaining deep knowledge of the Mr Price business

Qualifications

• A degree in a quantitative field such as Statistics, Math, Computer Science, Physics or Engineering
• 2-5 years’ experience in a data science, software development or quantitative analysis role.
• The skills below are preferred but not required. We expect more experienced candidates to tick more of these boxes and the successful candidate will learn all of these during their career at Mr Price.
• Python or R, using libraries like Pandas, NumPy, Scikit-learn, tidyverse, etc
• SQL, Relational DBMS and data modelling – to source and transform your inputs and save and explore your outputs.
• Exploratory Data Analysis skills – to explore and understand your data.
• Applied statistics or machine learning methods e.g. Neural Networks, Decision Trees, Time Series Analyses, Clustering, Regression, Deep Learning.
• Optimisation Techniques e.g. Linear Programming, Genetic Algorithms, Simulated Annealing
• Big Data processing platforms like Spark
• Data Visualisation tools e.g. Excel, PowerBI, Tableau.
• Responsible software engineering practices e.g. Version Control (git), Design Patterns, Reproducability, Deployment etc.
• LLMs and GenAI – to leverage advanced AI techniques for innovative solutions.

How we work?

• The Data Science (DS) team sits within the Mr Price Advance team – alongside our Data Warehouse, Business Intelligence, Special Projects and Robotic Process Automation teams.
• The Mr Price Advance team falls within the Mr Price Technology division.  The Technology division has various specialisations (e.g. Security, Cloud, Infrastructure) which allows each of us to focus on our own particular strengths.  (There’s also the annual Hackathon.  So far the DS team has 2nd and 4th places – come help us win this year!)
• We have hybrid working arrangements, typically working Mondays and Fridays from home.
• Majority of our work (80%+) is project based with the balance (~20%) spent supporting our existing solutions.
• You will usually oversee a key part of a project, seek support from your data science team mates as needed, and give regular progress reports to the Head of Data Science.