Data Scientist - Hybrid - Outside IR35

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., * 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

• 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 (eg, 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