Data Scientist

Join Our Team as a Data Scientist at KFC Rohloff Group! Are you driven by a passion for leveraging advanced analytics and statistical modelling to uncover impactful insights?We’re looking for a Data Scientist to join our dynamic team at KFC Rohloff Group. In this role, you’ll help drive our franchise group’s growth and success through predictive modelling within the BI Department, enabling the business to make smarter, data-driven decisions. You’ll focus on building machine learning models, performing in-depth statistical analysis, and delivering AI-powered insights that enhance operational efficiency and elevate the customer experience.What You'll Be Cooking UpAdvanced Analytics & ModelingDesign and implement machine learning models for forecasting, segmentation, and optimization.Conduct predictive and prescriptive analytics to support strategic business decisions.Data Exploration & VisualizationAnalyze large, complex datasets to identify trends and actionable insights.Develop visualizations, dashboards, and analytical models using BI tools such as Power BI and Python libraries.Collaboration & IntegrationWork closely with BI Developers, Data Engineers, and Business Analysts to integrate models into BI platforms.Partner with business units to translate requirements into scalable analytical solutions.Innovation & Continuous ImprovementResearch and apply emerging technologies in AI and data science.Drive automation and advanced techniques to enhance data-driven decision-making.What You Bring To The TableDetail-oriented with a commitment to data quality and integrityProficiency in Python or R for advanced data manipulation, modelling, and automation.Strong understanding of ETL pipelines, data warehousing, and integration processes.Familiarity with APIs and common data formats such as JSON, XML, and OData.Experience with Power BI, SSRS, and advanced Excel for reporting and dashboard development.Ability to build interactive data models and apply DAX for analytics.Bachelor’s or master’s degree in data science, Computer Science, Statistics, Chemical Engineering, or a related field.Innovative thinker with a passion for leveraging data to drive business growth.Strong collaboration skills and ability to thrive in a fast-paced environment.Why You'll Love It HereCompetitive salary and bonuses.Comprehensive benefits.Collaborative, inclusive, and flexible work environment.Ready to make an impact? Apply now and join us on this exciting journey!📅>> Closing Date for Applications: [COB: Wednesday, 26th Nov 2025]