Top Data Science Jobs in London

The Data Specialist will lead data collection projects, including data labeling and quality assessments, assist in generating synthetic training data, and enforce data quality standards to ensure datasets are ML-ready. The role requires collaboration with teams to support machine learning and data engineering efforts.

As a Data Scientist, you will develop analytical solutions for complex problems, focusing on machine learning, predictive modeling, and data analysis. You'll manage data collection, validation, and reporting, while collaborating with product managers and the R&D team to innovate and improve products. Your role will emphasize automation, AI models, and continuous learning in a dynamic environment.

As a Data Scientist in our R&D team, you will develop analytical solutions, optimize machine learning models, and collaborate with cross-functional teams to derive insights from complex data. You will manage data processing, build predictive models, and automate processes while staying abreast of innovations in data science and AI.

The role involves designing, developing, and improving AI and quantitative applications, collaborating with technology teams to ensure scalability, and mentoring junior team members. It focuses on client portfolio management issues using AI solutions and quantitative methods.

As a Data Scientist on the R&D team, you will develop analytical solutions for complex problems using machine learning and predictive modeling. Responsibilities include data management, model development, automation of processes, and collaboration with cross-functional teams to align solutions with business goals.

The Associate Director of Data Science will apply data science methodologies to patient-level data to enhance drug development decisions, oversee analytical approaches, manage project budgets, and lead a team while ensuring effective communication of findings to stakeholders.

As a Data Scientist, you will develop analytical solutions for complex problems using machine learning and data analysis techniques. Responsibilities include data management, model development, reporting, process automation, and collaboration with team members to innovate and optimize products through data-driven insights.

The Product Strategy Lead is responsible for managing Advanced Analytics capabilities and developing insights for portfolio health. This role reports on the product lifecycle, works with stakeholders to address challenges, and collaborates with cross-functional teams to implement scalable analytical solutions.

The VP of Global Insurance Claims Data Analysis and Reporting will develop and implement a claims data strategy, produce insights and analytics to enhance claim outcomes, manage regional data teams, ensure data quality, support audits, and leverage technologies like AI and automation in claims processes.

The Senior People Analytics Partner will act as a liaison between the People Analytics team and various business stakeholders. Responsibilities include conducting complex statistical analyses, translating business needs into reporting requirements, and influencing HR initiatives based on data insights. This role requires building strong relationships with stakeholders to ensure data-driven decision-making aligned with business objectives.

The Data Product Owner will be responsible for managing underwriting data products, translating the data strategy into actionable items, facilitating communication between stakeholders and teams, and ensuring compliance with data governance standards. They will focus on continuous improvement, user experience, and promoting data literacy within the organization, utilizing analytics and innovative technologies to meet business needs.

The Data Scientist will develop analytical solutions, design and validate machine learning models, manage data collection and processing, automate processes, and contribute to innovative product development within the R&D team.

As a Data Scientist, you will leverage large language models and advanced statistical techniques to develop AI-driven solutions that enhance client outcomes. Your role involves analyzing massive datasets, creating investment research content, and deploying machine learning applications in commercial environments. You will act as a subject-matter expert, driving AI adoption across Morningstar's business units.

The Data Scientist will develop analytical solutions for complex problems using machine learning and data-driven insights. Responsibilities include organizing data, building predictive models, automating processes, and collaborating with teams to optimize business performance.

The Data Scientist will develop analytical solutions, focusing on machine learning and predictive modeling. Responsibilities include data management, model development, and automation of processes. Collaboration with R&D teams and communication of findings to non-technical stakeholders are essential.

The Data Scientist will develop analytical solutions, build and validate machine learning models, automate processes, and collaborate with R&D and cross-functional teams to drive data-driven insights and innovation.

The Data Scientist will develop analytical solutions for complex problems utilizing machine learning, predictive modeling, and optimization in an R&D environment. Responsibilities include data management, model development, automating processes, and collaborating with cross-functional teams to align solutions with business goals.