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Data Scientist - Hybrid - Outside IR35

Tenth Revolution Group
Contract
Remote friendly (Oxfordshire)
United Kingdom
£500 - £600 GBP daily
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