Data Scientist - Hybrid - Outside IR35

Data Scientist - Hybrid - Outside IR35About the Role We are seeking a highly analytical and business-minded Data Scientist to join our team. In this role, you will transform complex data into actionable insights, build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities • Collect, clean, and analyze structured and unstructured datasets from multiple sources • Develop and deploy predictive models and machine learning algorithms • Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions • Build data pipelines and automate workflows in collaboration with data engineering teams • Communicate insights and recommendations clearly to technical and non-technical stakeholders • Develop dashboards, visualizations, and reports to monitor key performance indicators • Stay current with emerging data science techniques, tools, and industry best practices • Ensure data quality, integrity, and governance standards are maintained Required Qualifications • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field • 2+ years of experience in data science, analytics, or a related role (adjust based on seniority) • Strong proficiency in Python or R • Experience with SQL and working with large datasets • Solid understanding of statistics, probability, and machine learning concepts • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) • Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications • Experience with cloud platforms (AWS, GCP, Azure) • Familiarity with big data technologies (Spark, Hadoop) • Experience deploying models into production environments • Knowledge of deep learning frameworks (TensorFlow, PyTorch) • Experience working in Agile or cross-functional product teams