Decisioning Analytics Specialist

Job Description As a Data Scientist, you will play a key role in delivering high-impact analytics and machine learning solutions at scale for a leading telecom operator. You’ll work on complex, real-world problems, influence business decisions, and help shape how advanced analytics is embedded across the organisation . This role offers hands-on ownership, exposure to senior stakeholders, and the opportunity to grow into broader technical or leadership responsibilities. Responsibilities Lead the development and delivery of advanced analytics and machine learning models to address key business opportunities and gaps. Partner with business stakeholders with minimal supervision, clearly communicating insights, assumptions, and model outcomes. Collaborate with peers across data science, engineering, and analytics teams on cross-functional problem solving. Continuously enhance models through feature engineering, new data sources, and experimentation to improve business performance. Contribute to setting best practices, standards, and re-usable assets across the data science team. Translate ambiguous business problems into well-structured analytical approaches and recommend appropriate modelling techniques. Requirements Bachelor’s degree in Data Science, Actuarial Science, Mathematics, Statistics, Computer Science, or related fields. Strong, demonstrable experience delivering analytics and machine learning projects end-to-end. Experience in the telecommunications industry is an advantage but not mandatory. Hands-on experience with Python, SQL, R (or equivalent) and big data / distributed processing tools (e.g. Spark). Working knowledge of machine learning algorithms and classifiers. Strong communication, presentation, and analytical skills, with the ability to influence non-technical stakeholders.