Data Science Intern

**Hiring: Data Scientist \| Remote – Australia** We are hiring a skilled and motivated Data Scientist on behalf of one of our clients for a fully remote opportunity. The ideal candidate will have strong analytical and problem\-solving skills, hands\-on experience with data science tools, and the ability to transform complex datasets into actionable business insights. **Job Title:** Data Scientist **Location:** Australia **Work Mode:** 100% Remote **Key Responsibilities** * Collect, clean, preprocess, and analyse large datasets from multiple sources. * Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities. * Develop, train, test, and optimise machine learning models for predictive analytics and forecasting. * Apply statistical techniques and hypothesis testing to support data\-driven decision\-making. * Build predictive models and implement algorithms to solve business problems. * Create dashboards, reports, and visualisations using Power BI, Tableau, Matplotlib, or Seaborn. * Write and optimise SQL queries to extract and manage data from databases. * Use Python libraries such as Pandas, NumPy, Scikit\-learn, and SciPy for data analysis and modelling. * Identify and resolve data quality issues to ensure accuracy and reliability. * Collaborate with data engineers, business analysts, developers, and other stakeholders. * Translate business requirements into analytical solutions and communicate findings effectively. * Monitor model performance and continuously improve machine learning solutions. * Automate data processing and reporting workflows to improve efficiency. * Perform feature engineering and feature selection to enhance model performance. * Document analytical processes, methodologies, and project outcomes. * Ensure data privacy, security, and compliance with applicable data protection requirements. **Required Skills \& Qualifications** * Strong programming skills in Python and SQL. * Good understanding of statistics, probability, and machine learning algorithms. * Hands\-on experience with Pandas, NumPy, Scikit\-learn, and data visualisation libraries. * Familiarity with Power BI or Tableau. * Excellent analytical, problem\-solving, and communication skills. * A degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred. **Preferred Qualifications** * Experience working with real\-world datasets, predictive modelling, and advanced statistical analysis. * Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). * Knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Keras. * Experience with natural language processing (NLP), computer vision, or generative AI applications. * Understanding of big data technologies such as Apache Spark, Hadoop, or Databricks. * Experience with ETL pipelines, data integration, and data preprocessing workflows. * Familiarity with database systems such as PostgreSQL, MySQL, MongoDB, or Snowflake. * Knowledge of model deployment using Flask, FastAPI, Docker, or cloud\-based services. * Understanding of MLOps practices, including model versioning, monitoring, and lifecycle management. * Experience using Git or other version control systems for collaborative development. * Familiarity with A/B testing, experimental design, and business performance metrics. * Ability to work with time\-series data, forecasting techniques, and anomaly detection. * Experience developing scalable and production\-ready machine learning solutions. * Understanding of responsible AI practices, model explainability, and bias detection. * Experience working in Agile environments and collaborating with cross\-functional teams. * A portfolio of data science projects, research work, or contributions to open\-source projects is an advantage.