Top Data Jobs in London

As a Data Scientist intern at Shift Technology, you will work on fraud detection, anti-money laundering, and claims automation products. Responsibilities include data engineering, model development, client interactions, and business tasks automation.

The Senior Data Engineer will build and maintain SoundCloud’s GCP data warehouse, Corpus, facilitating data access and reporting for diverse teams. Responsibilities include designing data architecture, building ETL pipelines with Airflow, and ensuring data quality for analytics and business KPIs.

The Senior Data Scientist will enhance mathematical and statistical models using panel and census data to create hybrid datasets. This involves designing machine learning models, developing prototypes in Python, collaborating across teams, writing requirements, ensuring data quality, and sharing knowledge within the team.

The Data Architect at Norgine is responsible for developing and maintaining the organization's data architecture, ensuring scalability, security, and compliance. The role involves leading data engineers, collaborating with stakeholders, and implementing complex technology programs to meet strategic goals.

As a Field Data Collector, you will gather parking data through surveys, taking photos of signs, counting parking spaces, and submitting findings via a mobile app. This role involves attention to detail and the ability to work outdoors.

As a Senior Data Scientist, you'll utilize your expertise in data science and optimization to influence technology strategy and enhance machine learning initiatives. You'll analyze large datasets to drive performance improvements and maintain global operational efficiency across a high-volume ad exchange platform.

As a Senior Salesforce Data Analyst, you will serve as the primary contact for data matters within the Salesforce team, drive data quality and compliance with regulations, and lead data-related projects while collaborating with key business stakeholders. The role also involves managing and manipulating data intricately while understanding broader business processes, particularly in the context of adopting new technologies like AI.

The Senior Principal Data Scientist will lead data science methodologies to solve business problems and support clinical development programs. Responsibilities include managing data lifecycle, conducting high-dimensional analyses, collaborating with partners, and generating insights from patient-level data to aid decision-making in drug development.

As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.

The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.

As a Senior Data Analyst at EFG, you will lead the development of data products and visualizations, guide team members, and enhance business decision-making through insightful analyses. You are responsible for project ownership and establishing best practices within the analytics team, using your expertise in both analytics and business to improve outcomes.

Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.

The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.

The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.

The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.

The Head of Legal, Technology & Data at Condé Nast will lead legal advice for the Technology function, focusing on data privacy compliance and technology law support across various teams. They will ensure legal guidance aligns with digital and data regulations, facilitating strategic discussions and managing a team of lawyers, while also partnering with senior leadership on legal matters in technology and data.

As a Senior Content Developer in Data Science, you will create and maintain data science courses on the DataCamp platform, support course development, provide feedback, and engage with expert instructors. Your role involves ensuring content quality and using data to suggest improvements, while managing project timelines effectively.