Top Data Science Jobs in London

Lead long-term internal initiatives on data infrastructure, data quality, and more. Engage with senior leadership to promote data-driven development practices. Design, implement, and maintain high-quality datasets and data pipelines. Collaborate with cross-functional teams to empower research and analytics.

As a Junior Consultant at Ekimetrics in London, you will work on challenging data science projects with international clients across multiple industries, building bespoke marketing analytics solutions. Responsibilities include applying econometrics using data science and AI, working on Marketing Mix Modelling and Customer Analytic projects, contributing to R&D, and supporting CSR initiatives.

Design, build, and maintain data pipelines and warehouses to support reporting and insights, collaborate with BI teams, develop data models, ensure data infrastructure quality and security, adhere to best practices, and collaborate with other engineering teams to build data-driven products.

Develop and maintain dimensional data models, establish and maintain ETL pipelines, collaborate with stakeholders to provide clean and reliable data, work in a fast-paced environment, and improve data performance and efficiency. Must have strong communication skills and creative problem-solving abilities.

Verisk is seeking an experienced data scientist to lead analytics team in building new products for claims and underwriting. The role involves data analysis, model development using various algorithms, documentation, and collaboration with colleagues. Qualifications include a Master's/PhD in a related discipline, programming experience in Python and SQL, and fluency in English.

Join the Data Team at Smarkets to work on developing and maintaining ETL pipelines, services, APIs, and data infrastructure. Responsibilities include data exploration, ML model training, and collaboration with different teams for reporting and automation.

The Senior Data Scientist at Sensor Tower will leverage digital advertising knowledge to drive strategies that improve the accuracy of Digital Marketing insights solutions. Responsibilities include developing data modeling algorithms, working on AI for data extraction, and acting as a subject matter expert for digital advertising.

As an Analytics Engineer at Fospha, you will design, develop, and maintain scalable data pipelines, ensure data integrity, collaborate with teams, and drive continuous improvement in data processes. You will play a crucial role in supporting business initiatives and strategic decision-making with clean and reliable data.

Leading client projects, providing subject matter expertise, working in scrum-like environments for iterative work, assessing clients' needs, solving problems using data science techniques, identifying relevant data sources, analysing data, developing scalable models and algorithms, and supporting company strategy.

The Senior Staff Data & Analytics Engineer at Affinidi will be responsible for developing, prototyping, and implementing data layers for data and identity products. They will work on designing, architecting, and building quality systems while integrating AI/ML approaches. Responsibilities also include troubleshooting technical issues, driving continual improvement, and collaborating with stakeholders.

As a Data Scientist with Compliance expertise, you will analyze unstructured communications data for regulatory compliance and risk mitigation. This role involves generating insights, performing data analysis, assisting in data annotation, and collaborating with stakeholders. Required qualifications include a Bachelor's degree in a relevant field, 2+ years of data analytics experience, knowledge of financial regulations, and proficiency in Git, Linux/Unix, and IDEs. Preferred qualifications include a Master's degree and familiarity with cloud computing platforms. The company, Smarsh, values collaboration, innovation, and diversity in its culture.

The Senior Research Data Scientist at dunnhumby will work on creating new science-based solutions, applying machine learning techniques to business problems, and contributing to research and implementation of new approaches. Responsibilities include data analysis, model validation, and presenting results to stakeholders.

Looking for a Data Engineer to join Our Future Health's team to work on NHS data solutions at industrial scale. Responsibilities include building data pipelines, processing and quality control of participant data, and collaborating with researchers and stakeholders. Technical requirements include proficiency in Python, experience with data lakes, cloud environments, and data transformation/storage formats.

Seeking a skilled Data Analytics Engineer to integrate data analysis with engineering while navigating complex analytical challenges. Responsibilities include collaborating with teams, maintaining data models, ensuring data quality, and providing technical support to stakeholders.

Starling, a leading digital bank, is seeking a Data Scientist with Marketing experience to drive growth through effective marketing strategies using machine learning and statistical modeling.

As a Data Engineer, responsible for collecting, cleaning, transforming, and consolidating data for analysis and reporting. Working with a global team of data engineers, analysts, and reporting team to ensure smooth operation of data warehouse. Hands-on experience with Microsoft Azure data engineering pipelines and tools.

Accurx is looking for an Analytics Engineer to centralize and clean data, build data models, maintain the data warehouse, collaborate with data analysts, and support long-term data strategy planning. The ideal candidate is experienced in SQL, Python, data modelling, and database design, with a passion for enabling stakeholders to access data.