BI & Data Scientist

BI & Data Scientist

PURPOSE OF THE JOB

• To develop and deploy advanced analytics, machine learning, and AI solutions that enhance digital intelligence modules, operational performance, and decision-making. Will work with cross-functional teams to deliver predictive insights and intelligent automation, also assisting in the interpretation of complex data to support strategic and operational decisions.
• Act as an organisational enabler, building data capability within functional teams through continuous training, coaching, and data support, and fostering a culture of data-driven decision-making across the organisation.

ROLE

• Machine Learning & AI
• Design and deploy ML, deep learning models for fraud detection, anomaly identification, predictive analytics, behavioral segmentation, and risk scoring.
• Apply AI techniques such as LLM, image processing, and reinforcement learning to improve Digital Services Intelligence and reporting.
• Conduct feature engineering, model tuning, and performance evaluation using statistical and cross-validation methods.
• Implement MLOps pipelines for model lifecycle management, including versioning, deployment, and monitoring.
• Data Engineering & Analytics
• Build and maintain ETL pipelines using SQL, Python, and SSIS for scalable data ingestion and transformation.
• Integrate and analyse data from operational platforms: BI, Splunk, Nagios, ServiceNow, DMS
• Develop interactive dashboards and data visualizations using Power BI or Tableau for real-time insights and strategic reporting.
• Conduct root cause analysis, trend forecasting, and scenario modelling to support action planning.
• Lead training and coaching sessions to build data literacy and promote a data-driven mindset across teams.
• Support the development and delivery of reporting and analytics training for customer and taxpayer system users.

PROFILE

• Bachelor's or master's degree in data science, Computer Science, Artificial Intelligence, Statistics, or a related field.
• 3+ years of experience in data science, AI development, or advanced analytics roles.
• Proficiency in Python, SQL, and data visualisation tools (Power BI, Tableau).
• Hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with core tools: Splunk, ServiceNow, DMS, and Linux environments.
• Experience with AI applications such as LLM (ollama, LangChain, Hugging Face), computer vision (OpenCV), and deep learning.
• Solid understanding of ITSM, Service Management, and data governance principles.
• Experience working with large structured and unstructured datasets.
• Ability to present insights to senior management and influence strategic decisions.

Knowledge (desirable)

• RPA tools (e.g., UiPath, Power Automate).
• Cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• MDX, SSAS, SSRS, and SSIS.
• MLOps, CI/CD pipelines, and version control (Git).
• Data privacy, security, and compliance frameworks.