JOB DESCRIPTION Data Scientist Cape Town, South Africa (Hybrid work model) Permanent About TFG: Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that inspire our customers to live their best lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace; it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business and on this team, you'll share the pride of making an impact across a whole industry. We're the designers, the makers, the shakers, and the teams behind the scenes. Are you with us? About the Division: The Merchandise Process Optimisation team is a pivotal part of TFG's commitment to innovation and excellence. Within this team, the Analytics division is instrumental in crafting the algorithms and solutions that power our merchandise systems and initiatives. We focus on data analytics and data science initiatives that streamline operations, optimize inventory distribution, and advance strategic initiatives that drive our overarching business objectives. Key Responsibilities: Develop and implement advanced analytics and data science solutions to optimize merchandise processes and systems Analyze data trends to support allocations, stock management, and other retail analytics needs Collaborate with cross-functional teams to design and execute data-driven strategies for merchandise optimization Contribute to the enhancement of ML Ops processes and agile methodology practices Stay abreast of industry trends and technological advancements to drive innovation within TFG Qualifications and Experience: Bachelor's or higher degree in Data Science, Operations Research, Statistics, or related analytical field A minimum of 3-5 years of proven experience in data analytics or data science, preferably within the retail sector, demonstrating a track record of delivering impactful data-driven insights and solutions Experience in supply chain or merchandise analytics is highly desirable Familiarity with ML Ops and agile methodologies is advantageous Skills: Expertise in SQL and Python programming Strong analytical and critical thinking abilities Proficient in predictive modeling techniques, with the ability to develop and apply models for forecasting and trend analysis Ability to interpret complex data and translate it into actionable insights Proficiency in data modeling, analysis, and visualization Excellent communication and collaboration skills Behaviours: A passion for leveraging data to drive business success Flexibility and adaptability to change in a fast-paced environment Innovative and proactive approach to problem-solving Commitment to continuous learning and professional development Strong team player with a customer-focused mindset Join TFG and be at the forefront of retail analytics innovation. Apply now and transform data into decisions that shape the future of retail. ABOUT US Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that Inspire our Customers to live their Best Lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace, it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business, and on this team, you'll share the pride of making an impact across a whole industry. We're the designers, the makers, the shakers and the teams behind the scenes. Are you with us? ABOUT THE TEAM Our logistics team consists of transport and process managers, engineers, pickers, packers and hyster drivers who are responsible for organising the storage and distribution of goods. They ensure cost-effective and efficient last mile fulfilment and by working together they ensure everything runs smoothly. JOB DESCRIPTION Data Scientist Cape Town, South Africa (Hybrid work model) Permanent About TFG: Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that inspire our customers to live their best lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace; it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business and on this team, you'll share the pride of making an impact across a whole industry. We're the designers, the makers, the shakers, and the teams behind the scenes. Are you with us? About the Division: The Merchandise Process Optimisation team is a pivotal part of TFG's commitment to innovation and excellence. Within this team, the Analytics division is instrumental in crafting the algorithms and solutions that power our merchandise systems and initiatives. We focus on data analytics and data science initiatives that streamline operations, optimize inventory distribution, and advance strategic initiatives that drive our overarching business objectives. Key Responsibilities: Develop and implement advanced analytics and data science solutions to optimize merchandise processes and systems Analyze data trends to support allocations, stock management, and other retail analytics needs Collaborate with cross-functional teams to design and execute data-driven strategies for merchandise optimization Contribute to the enhancement of ML Ops processes and agile methodology practices Stay abreast of industry trends and technological advancements to drive innovation within TFG Qualifications and Experience: Bachelor's or higher degree in Data Science, Operations Research, Statistics, or related analytical field A minimum of 3-5 years of proven experience in data analytics or data science, preferably within the retail sector, demonstrating a track record of delivering impactful data-driven insights and solutions Experience in supply chain or merchandise analytics is highly desirable Familiarity with ML Ops and agile methodologies is advantageous Skills: Expertise in SQL and Python programming Strong analytical and critical thinking abilities Proficient in predictive modeling techniques, with the ability to develop and apply models for forecasting and trend analysis Ability to interpret complex data and translate it into actionable insights Proficiency in data modeling, analysis, and visualization Excellent communication and collaboration skills Behaviours: A passion for leveraging data to drive business success Flexibility and adaptability to change in a fast-paced environment Innovative and proactive approach to problem-solving Commitment to continuous learning and professional development Strong team player with a customer-focused mindset Join TFG and be at the forefront of retail analytics innovation. Apply now and transform data into decisions that shape the future of retail. ABOUT US Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that Inspire our Customers to live their Best Lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace, it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business, and on this team, you'll share the pride of making an impact across a whole industry. We're the designers, the makers, the shakers and the teams behind the scenes. Are you with us? ABOUT THE TEAM Our logistics team consists of transport and process managers, engineers, pickers, packers and hyster drivers who are responsible for organising the storage and distribution of goods. They ensure cost-effective and efficient last mile fulfilment and by working together they ensure everything runs smoothly. Apply Now

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