Top Data Jobs in London
The Data Strategy and Transformation Manager at Capco will lead and manage client data strategy projects, develop actionable data strategies, and enhance data literacy and culture within organizations. Responsibilities include managing mixed teams, defining data strategies with key objectives, and assessing data maturity levels.
As a Senior Data Engineer at 9fin, you'll implement data flows, lead solutions for streaming data ingestion, design complex data products, and automate data engineering pipelines. You'll also source new data, understand emerging data tools, and apply data modeling patterns. This role emphasizes code quality, data quality testing, and agile methodologies in a collaborative environment.
The Senior Engineering Lead will oversee the Data Governance team, ensuring data processing systems adhere to security and privacy best practices, managing architecture and design, and leading teams to build secure data systems for global finance.
The Senior HR Data and Reporting Analyst will oversee metric definitions, develop advanced reporting strategies, implement data analyses, and create comprehensive reports for executives. The role involves leveraging data visualization tools, addressing data management issues, and supporting predictive analyses within HR practices.
The Data Analyst will manage and deliver batch processing jobs, provide training to team members, handle quality control of outputs, assist in onboarding new processes, and contribute to process improvement initiatives while ensuring compliance with GDPR and corporate standards.
The Data Science Engineer at DraftKings will develop and deploy statistical models and machine learning algorithms to resolve complex business issues, manage data science projects, ensure timely delivery, and work with teams to integrate solutions. Responsibilities include communicating insights to stakeholders and supporting automation strategies.
As a Senior Data Engineer at Capco, you will design and develop data pipelines for top financial clients, ensuring best practices in engineering. You will work with cloud solutions, build event-driven applications, and engage in digital transformation across data technologies.
As a Data Analyst at Immersive Labs, you will analyze learner data to measure human capability against cyber threats, support product teams with data-informed decisions, and collaborate with cross-functional teams to enhance platform reporting and user insights.
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As a Senior Data Analyst at Immersive Labs, you'll define metrics and data visualizations that showcase customer readiness against cyber threats, collaborate with product and data teams for data-informed decisions, and ensure platform reporting meets customer needs. You'll also support analyses for customer success and marketing, working with cross-functional teams to enhance product strategy.
As a Staff Data Engineer at DailyPay, you'll design and maintain ETL/ELT infrastructure, optimize data pipelines, implement data testing capabilities, and help architect the data lakehouse. Your role focuses on building robust distributed data platforms and ensuring efficient data governance and security best practices.
As a Data Analytics Lead, you will drive the strategy and growth of the Data Practice, developing and delivering analytics, AI, and machine learning projects for financial services. You will oversee a team of data practitioners, identify business development opportunities, and enhance the analytics capability.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The Manager of Data Engineering will lead a team, oversee data engineering projects, collaborate with product management, and drive the design of Canoe's data platform while ensuring successful project delivery and fostering team culture.
As a Senior Data Science Engineer, you will develop and integrate statistical and machine learning models into applications, enhance football models, write production quality code, utilize MLOps for training, and support junior data scientists. You will collaborate closely with various teams and ensure data flows are accurate and models function within the business context.
As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
The Principal - Clinical Data & Technology role at ZS involves driving growth in Clinical Technology business by managing client accounts and delivering bespoke solutions for Pharma and Biotech companies. The role includes understanding company service lines, developing client solutions, and generating new business engagements.
The Data Strategy & Partnerships Consultant will develop and implement data strategies for clients in the healthcare sector, focusing on optimizing data governance, sourcing strategies, and portfolio analytics. Responsibilities include building frameworks, collaborating with global teams, and managing project plans and client communications.
Associate Principal role at ZS focusing on Clinical Data & Technology. Responsibilities include strategizing, designing, and building marketing and sales technology solutions to improve commercial effectiveness. Requires expertise in Python, SQL, Big Data Technologies, AI/ML, and Analytics.
The Data Analyst will drive key business projects in the Global Cyber team, generating insights from data analysis and collaborating with various teams. Responsibilities include data manipulation, trend identification, requirements refinement, KPI definition, and ensuring proper implementation of data solutions.
As a Data Engineer II, you will build and maintain ETL and data pipelines, produce and support data reports and dashboards, design data testing and optimization capabilities, and improve the performance of the data infrastructure. You'll collaborate on analytics engineering efforts and maintain monitoring and alerting systems.
As a Data Reporting Analyst at Klaviyo, you will design and manage data analytics and reporting dashboards, ensuring accurate and governable data for the CI&SO organization. You'll collaborate with stakeholders to define metrics, automate reporting processes, and provide analytical support for data-driven solutions, while also mentoring others in the team.
As the Data Strategy & Advisory Leader for Energy, you will drive the growth of Capco's Data Practice, leading a team of data practitioners to develop and deliver data strategies for top-tier clients in the Energy and Financial Services sectors. Your role includes identifying business development opportunities, directing client proposals, and driving sustainable outcomes.
The role involves driving growth in the Insurance Data Strategy Practice at Capco by identifying business opportunities, managing client relationships, and leading a team of data practitioners to deliver innovative data solutions for top-tier Insurance clients.
The role is to lead the growth of Capco's Data Practice in Retail Banking, driving commercial growth, developing data strategies, collaborating with multi-disciplinary teams, and identifying business development opportunities. The leader will also shape data propositions to address client challenges effectively.
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