Top Data Jobs in London

The Senior Solution Consultant provides technical support to clients, leads presentations and workshops, mentors junior consultants, and collaborates on customer needs to drive satisfaction using Guidewire solutions.

The Director of Platform Engineering will lead architecture, development, and scalability of platform services, oversee a team, drive strategy, and ensure performance across cloud infrastructure.

The Principal Product Manager for Data Innovation will define and execute product strategy for synthetic data and collaboration products, ensuring commercial success and alignment with stakeholders, while leading complex product development initiatives.

Lead strategic data science initiatives, mentor team members, design models, and enhance business performance through innovative machine learning solutions.

The Senior Data Analyst will collaborate with various teams to provide data-driven insights, enhance decision-making, and support strategic initiatives. Key responsibilities include data analysis, visualization, and using AI tools for analytics.

Lead and develop a team of ML engineers, manage predictive models for user acquisition strategies, and design production ML systems.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The role focuses on maximizing revenue through new client sales, maintaining a pipeline of deals, and developing relationships in the capital markets community. Responsibilities include prospecting new clients, conducting research, mentoring junior staff, and collaborating with internal teams to enhance customer experience.

The Analyst will support the Third-Party Risk Management program by executing processes, maintaining data accuracy, assisting with tool administration, and contributing to reporting and training efforts.

The Analyst will assist in the execution of third-party onboarding and risk processes, support TPRM tool administration, and track risk metrics.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

Drive measurable value through data science. Develop robust ML models, build scalable AI solutions, and collaborate for impactful results.

The role involves managing data management, AI, and analytics audits, providing advisory services, developing governance frameworks, and driving business growth in financial services.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

The HR Operations Coordinator supports HR inquiries, processes data for HR systems, generates reports, and ensures compliance with HR policies. This role requires effective communication and confidentiality while performing HR operational tasks and supporting HR technology projects.

Lead the integration of genomic data annotation sources into bioinformatics pipelines, supporting NHS genomic medicine initiatives, and developing tools for genomic data management.

The role involves building a large-scale event streaming platform, mentoring teams, supporting cloud-based technologies, and developing streaming applications using tools like Kafka and Flink.

As a Senior Director Analyst in Data Security, you'll research and analyze data security trends, support clients, produce written insights, and collaborate with teams to deliver high-quality advice, while leveraging expertise in data security technologies and practices.

As a Software Engineer, you'll enhance Neo4j's Graph Data Science platform, write high-performance code, and collaborate on innovations in graph algorithms and machine learning.

As a Senior Product Data Scientist, you'll lead analytics for product pillars, define success metrics, and collaborate with engineers to enhance products through data-driven insights.

As a Product Data Scientist, you'll lead analytics efforts for a product pillar, collaborating with cross-functional teams to define metrics, analyze data, and drive product improvements.

Lead the European data center market strategy, develop customer relationships, drive sales growth, and influence industry policies through strategic collaboration and thought leadership.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

As a Senior Product Data Scientist, you will analyze complex data to support product decisions, mentor junior staff, and collaborate with cross-functional teams to enhance product performance and metrics.

As a Senior Research Data Scientist, you will translate complex business problems into data science problems using AI algorithms, working with statistical methodologies and machine learning techniques to develop scalable solutions.