Top Data Jobs in London
Exciting opportunity for a Data Scientist III in Product Analytics at Expedia Group. Responsibilities include analyzing metrics, managing reporting, and collaborating with product analytics team. Requires Bachelor's/Master's degree in a quantitative field and 4 years of industry experience. Must have experience in web analytics, machine learning models, and working with large datasets. Strong analytical and communication skills are essential.
Seeking an experienced senior data scientist to join the Data Science team within the Product & Technology division at Sotheby's. Responsibilities include solving product or business problems using analytics, statistical modeling, implementing models in production, data gathering and cleaning, and presenting findings to stakeholders.
Looking for an experienced Senior Data Analyst to take ownership of analytical output, provide insights and recommendations, and lead analytical projects in a fast-paced agency environment. Responsibilities include supporting marketing-mix models, test and learn programs, mentoring junior team members, and utilizing coding skills for process optimization. Must have 3+ years of experience in marketing analytics, a degree in quantitative subject, and proficiency in Python and data manipulation.
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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.
The HR Data, Insights & Reward Manager is responsible for leading all aspects of people analytics, reporting, and reward functions within the company. This role involves managing a team, providing data-driven insights, maintaining compensation structures, and driving HR systems digital transformation.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
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The Competency Advisory Partner - Data is responsible for bookings targets, go-to-market interactions, pipeline development, supporting Rackspace sellers in promoting and selling the competency, advising customers, building the brand as a consulting partner for cloud transformation projects, and delivering exceptional outcomes for clients.
Data Engineer role in bioinformatics with a focus on building data pipelines, transforming data, working with genomic data, and collaborating with multidisciplinary teams. Responsible for creating reusable products and ensuring data quality for analysis.
The Senior Digital Lead - Data & Analytics will be responsible for managing the Data & Analytics area for Finance within the Pet Nutrition sector at Mars, Inc. This role will involve overseeing the implementation of SAP S/4Hana and working on data collection, cleaning, analysis, reporting, and presentation for the ERP Digital Transformation program.
Design, develop, and deploy analytic and reporting solutions for Workday customers. Resolve analytic and reporting issues, contribute to customer satisfaction, collaborate across teams, and mentor team members. Requires 7+ years of Data Modeling Experience, 4+ years of Workday Reporting Experience, and 3+ years of Prism Experience.
As the Global Digital Analyst at a renowned jewellery brand, you will be responsible for driving best-in-class analysis and reporting across various channels and platforms. You will work closely with internal and client teams to provide insights and recommendations for business problems, as well as deliver campaign reporting and insights. This role offers exposure to multiple digital projects and the opportunity to collaborate with various stakeholders.
The Data Privacy Operations Manager is responsible for implementing data privacy principles into all areas of Publicis' business in the UK market. They coordinate with senior-level stakeholders to ensure data privacy by design and default in proprietary systems.
Looking for a Senior Data Engineer to co-lead the Product Development team, with responsibilities in technical builds, approach, and prioritization. Must have experience in data engineering, media tools, data pipelines, and structures.
Managing end-to-end Data and Reporting Solutions for key Global Network Clients, bridging the gap between business and technical teams, ensuring accurate data quality and leading dashboard build and maintenance.
As an AI/ML Data Engineer, responsible for research, building and automating predictive models, translating business requirements to technical requirements, and working with a global team of data engineers and analysts. Strong knowledge in Python, R, Microsoft Azure, machine learning, and BI technologies.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
Seeking a Data Analyst (Analytics Engineer) who excels in SQL, dimensional modeling, and data warehouse management. The role involves communicating and visualizing data insights, improving data accessibility, and guiding stakeholders in making informed decisions. Must demonstrate expertise in data modeling, stakeholder management, and storytelling through dashboards.
Lead the development of data elements for cloud-native SaaS products in the PLM domain. Design and deliver cloud-native data solutions, collaborate with cross-functional teams, mentor data engineers, and drive DevOps practices. Stay updated with industry trends and advancements in cloud computing technologies.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Develop innovative models using machine learning techniques to predict behavior of physical systems, collaborate with engineers and customers, design and test data pipelines, contribute to internal R&D and product work
Work as a Data Scientist at PhysicsX, developing machine learning applications to accelerate physics simulations and optimize design and engineering processes. Collaborate with engineers and customers, build predictive models, deliver data science workstreams, and contribute to R&D and product work. Requires 2+ years of experience and a degree in a relevant field.
Aker Systems is looking for a Principal Data Architect to lead the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms. The role involves engaging with stakeholders, providing strategic guidance, and ensuring data solutions meet objectives and compliance standards.
The Risk Reporting and Data Analyst role involves supporting the reporting team with analytics to drive evidence-based risk reporting, providing data analysis from the FCA's risk management system, creating data visualizations, and collaborating with the data community across the FCA.
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.
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