Data Scientist - Advanced Analytics

About the OrganizationOur client is a Leading Sri Lankan Conglomerate with diverse business interests across multiple sectors (e.g., healthcare, FMCG, services). The organization is committed to digital transformation and leveraging data science to drive strategic decision-making, operational efficiency, and revenue optimization across the Group.Role SummaryThe Data Scientist is a pivotal technical and analytical role responsible for applying advanced statistical and machine learning techniques to complex business problems. The ideal candidate possesses strong technical skills, a robust analytical mindset, and the ability to translate complex data findings into actionable, predictive insights for diverse internal stakeholders.Job Profile1. Model Design and DeploymentDesign, build, and deploy robust predictive models to address core business challenges, including, but not limited to, demand forecasting, operational efficiency improvements, and revenue optimization strategies.Partner effectively with cross-functional teams (such as clinical, operations, finance, marketing, and HR) to identify high-impact opportunities where predictive analytics can deliver tangible business value.2. Data Engineering & PreparationWork hands-on with the SQL and Azure-based Data Warehouse to extract, clean, transform, and prepare data for rigorous modeling and analysis.Ensure data integrity and quality throughout the modeling lifecycle.3. Business Intelligence IntegrationCollaborate closely with the Business Intelligence (BI) team to seamlessly integrate predictive model insights and outputs into the organization's reporting ecosystem, primarily using Power BI dashboards for decision-makers.4. Communication & Stakeholder EngagementPresent complex analytical findings, model methodologies, and strategic recommendations clearly to both technical and non-technical stakeholders across the organization.Ability to work independently and take ownership of end-to-end analytics initiatives, from problem definition to final deployment.Candidate ProfileBachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.2–5 years of experience in data science, predictive modeling, or advanced analytics.Strong proficiency in SQL and demonstrable experience working with enterprise data warehouses (preferably Azure).Skilled in Python or R for data analysis, predictive modeling, and general machine learning tasks.Experience with Power BI or similar data visualization tools.Strong understanding of statistical methodologies and various machine learning algorithms.Excellent communication and storytelling skills necessary to engage and influence stakeholders at all organizational levels.Familiarity with the Azure ML, Azure Synapse, or Azure Data Factory suite of tools.Exposure to MLOps principles and practices, specifically deployaing models into a production environment.Knowledge of advanced techniques such as forecasting, optimization, or text analytics.