Top Data Jobs in London

The Data Operations Associate at PitchBook will gain proficiency in the internal Research Tool Suite and outreach tools. Responsibilities include executing email and phone contact campaigns, creating outreach strategies, processing client requests, and ensuring data accuracy for the PitchBook Platform.

Lead the development and execution of Ogury's data platform, ensuring data availability for informed decision-making. Responsibilities include building data processing solutions, mentoring team members, and promoting best practices in data engineering and architecture.

As a Principal Data Scientist, you will innovate by designing and implementing predictive models, uncovering insights through data analysis, developing data solutions, and effectively communicating findings to clients while collaborating with cross-functional teams.

The VP of Analytics Enablement leads initiatives that enhance data-driven marketing strategies, ensuring the organization effectively leverages data to foster client growth. Responsibilities include managing analytics teams, driving connected decision-making, and collaborating with creative and technological experts to enhance brand engagement across global markets.

As a Senior Data Scientist, you will leverage data to drive marketing transformations, focusing on advanced analytics and machine learning methodologies to optimize customer engagement and brand strategies. You'll work collaboratively in a hybrid environment, contributing your expertise to solve complex challenges for high-profile clients.

The Senior Data Analyst will leverage data to drive actionable insights for brands, employing analytical tools and methods to enhance marketing strategy and execution. This role involves collaboration with creative and tech teams, ensuring data-driven decision making.

The European CS Data Analyst is responsible for analyzing data, finding trends, and identifying opportunities to improve customer service operations. They will work on improving and automating code, creating performance reporting templates, interpreting data from multiple sources, and developing analytical solutions. Strong communication, analytical, and SQL skills are required for this role.

Verisk is looking for an experienced data scientist to support the development of various analytics models and supervise junior data scientists. The successful candidate should have experience in data science with coding experience in Python, the ability to develop models using GLMs and machine learning, and skills to manage a team of data scientists. Responsibilities include building new analytics products, data analysis, model creation, documentation, and presenting analysis results. Qualifications include a Master's/PhD in math, science, or analytics, programming experience with Python and SQL, and strong communication skills.