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.

Advanced Analytics & Modeling

• Design and implement machine learning models for forecasting, segmentation, and optimization.
• Conduct predictive and prescriptive analytics to support strategic business decisions.

Data Exploration & Visualization

• Analyze 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 & Integration

• Work 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 Improvement

• Research and apply emerging technologies in AI and data science.
• Drive automation and advanced techniques to enhance data-driven decision-making.

• Detail-oriented with a commitment to data quality and integrity
• Proficiency 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 modelsand 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.

• Competitive salary and bonuses.
• Comprehensive benefits.
• Collaborative, inclusive, and flexible work environment.