Were seeking a highly skilled Data Scientist / Statistician to harness advanced analytics, statistical modeling, and AI techniques to deliver actionable insights and scalable solutions that shape business strategy and drive client success. Key Responsibilities: Apply statistical methods, data science techniques, and AI algorithms to analyze complex datasets and uncover actionable insights. Design, develop, and maintain forecasting, valuation, and predictive models aligned with business objectives. Build dashboards and automated reporting tools to communicate insights clearly and effectively. Collaborate with internal teams and external stakeholders to ensure data integrity, reliability, and project alignment. Implement AI-driven solutions and advanced analytics workflows to enhance efficiency, accuracy, and scalability. Oversee data systems and architecture to guarantee secure, accessible, and fit-for-purpose reporting capabilities. Experience & Skills Required: Postgraduate degree in Statistics, Mathematics, or Data Science (Bachelors acceptable with strong experience). 35 years of experience in statistical research, data analysis, or data science. Proficiency in Python, R, SQL , and statistical tools such as SPSS . Hands-on experience with machine learning frameworks , predictive modeling, and AI-driven solutions. Ability to manage large datasets while ensuring data quality, governance, and accuracy. Experience in building dashboards, automating reports, and delivering client-ready outputs. Strong communication, report writing, presentation, and stakeholder engagement skills. Self-driven, solution-oriented, and capable of meeting deadlines in a fast-paced environment. Apply now!

We are looking for a Data Scientist / Statistician to leverage advanced analytics, statistical modelling, and AI techniques to generate insights and develop scalable solutions that inform business strategy and drive client success. Key Responsibilities: Analyze complex datasets using statistical methods, data science techniques, and AI algorithms to provide actionable insights. Design, build, and maintain forecasting, valuation, and predictive models to support business objectives. Develop dashboards and automated reporting tools to communicate insights effectively. Collaborate with internal and external stakeholders to ensure data integrity, reliability, and alignment with project goals. Implement AI-driven solutions and advanced analytics workflows to improve efficiency, accuracy, and scalability. Manage data systems and architecture to ensure accessible, secure, and fit-for-purpose reporting capabilities. Job Experience and Skills Required: Postgraduate Degree in Statistics, Mathematics, or Data Science (Bachelors acceptable, with strong experience). 35 years experience in statistical research, data analysis, or data science. Strong proficiency in Python, R, SQL, and statistical tools such as SPSS. Experience with machine learning frameworks, predictive modelling, and AI-driven solutions. Proven ability to handle large datasets and ensure data quality, governance, and accuracy. Experience building dashboards, automated reports, and delivering client-ready output. Strong communication, report writing, presentation, and stakeholder management skills. Self-motivated, solution-oriented, and able to deliver results under deadlines. Apply now!