Remote Exploratory Data Analysis Jobs in Central London

2 of 2 Remote Exploratory Data Analysis Jobs in Central London

HR Data Science Intern

City of London, London, United Kingdom
Hybrid / WFH Options
SLB
Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. You … will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic learning More ❯
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Data Scientist

City of London, London, United Kingdom
Hybrid / WFH Options
Bounteous
Job Title: Data Scientist Location: London (Hybrid) Job Type: Contract Key Responsibilities: - Apply end-to-end data science lifecycle principles—including design, exploratory data analysis, model development, evaluation, deployment, monitoring, and maintenance—to new projects. - Contribute to the development, performance monitoring, and ongoing lifecycle management (retraining, optimization, and enhancement) of production data science models. … Design comprehensive data-driven solutions for complex business challenges using large and small datasets, including internal and third-party sources, and leveraging advanced machine learning or statistical techniques. - Collaborate closely with data scientists, data engineers, and cross-functional teams—including pricing and analytics—to support the advancement of analytics capabilities across the organization. - Write high-quality Python … best practices for model development and deployment. - Continually expand domain expertise by researching emerging technologies and techniques and sharing knowledge within the team. Essential Qualifications: - Hands-on experience in data science or advanced analytics, or a strong passion and aptitude to grow in the field. - Ability to perform thorough research independently or within small teams, while meeting time-sensitive More ❯
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