[T03] Data Scientist / Machine Learning Engineer

Key Responsibilities: • Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets. • Translate business problems into analytical and machine learning solutions. • Design, develop, train, and optimise machine learning models and algorithms. • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods. • Deploy machine learning models into production environments and integrate them with existing applications through APIs. • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. • Monitor deployed models, troubleshoot issues, and continuously improve model accuracy and efficiency. • Present analytical findings and recommendations clearly to both technical and non-technical stakeholders. • Stay current with advancements in AI, machine learning, and data science, recommending new tools and best practices where applicable. Requirements: • Minimum 3 years of hands-on experience in machine learning implementation, deployment, and statistical data analysis involving large datasets. • Strong experience translating business requirements into analytical solutions using statistical and machine learning techniques. • Proficient in:PythonSQLData WranglingData VisualisationDatabase Management Systems (DBMS) • Experience with one or more of the following:TensorFlowPyTorchRSASQlik Sense • Experience deploying machine learning models into production environments. • Familiarity with Agile development methodologies such as Scrum is preferred. Nice to Have: Experience with any of the following technologies would be advantageous: • Power BI • Microsoft Access • SharePoint • Kubernetes • Docker or Podman • Microservices Architecture • DevSecOps practices Work Location: East / West (EA Reg No: 20C0312) #J-18808-Ljbffr