Data Scientist - Hybrid - Outside IR35
other jobs Tenth Revolution Group
Added before 5 Days
- England,South East,Oxfordshire
- Full Time, Contract
- £500 - £600 per day
Job Description:
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
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
Job number 3409137
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