Top Data Jobs in London
Seeking a highly skilled Pension Data Scientist to develop and implement a digital analytical strategy for pension products, utilize data science, AI, Generative AI, machine learning, and big data techniques, lead a Data Science team, analyze user data, build predictive models, leverage big data technologies, and drive innovation in digital pension products.
The Data Consultant role at Telefónica Tech involves delivering enterprise-level applications in Business Intelligence and Data Analytics. The position is client-facing and may require occasional travel. Responsibilities include working with Microsoft Azure and SQL Data analytics stack, meeting customer requirements, supporting team development, and contributing to the Data&AI community. Ideal candidates have industry experience in Microsoft Azure or SQL Data Analytics, strong interpersonal skills, and a willingness to learn new technologies. Technical skills include SQL Server, Data Analytics stack, Power BI, DAX, and Azure Data Lakes, among others.
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Enfusion is seeking a Quantitative Analytics Lead to develop and implement sophisticated models for risk quantification and performance measurement. Responsibilities include model life cycle management, performance analysis, client interactions, and collaborating with internal teams to enhance analytics infrastructure.
Responsible for collecting and analyzing data to develop models and determine trends. Uses a variety of data sources to optimize business effectiveness, predict outcomes, and inform strategic decisions. Works with business leaders to understand data needs, conduct exploratory data analysis, and develop forecasting models. Communicates findings through data visualizations and presentations to Company executives. Promotes a culture of data-driven discussions and stays current with emerging trends in analytics and machine learning.
Join Wheely as a Data Scientist in the Marketplace team to define metrics, produce insights & predictive models, and embed prediction & optimization throughout the marketplace. Work on developing core marketplace capabilities to achieve future ambitions in a luxury ride-hailing company.
Join a team of inquisitive minds and supportive peers at Ascent, a digital transformation business specializing in data science, software development, and more. As a Senior Data Scientist, you'll work on data science practices, apply enterprise-grade standards, and focus on user experience and best data communication practices.
Join Frontiers as a Senior Institutional Data Analyst to lead strategic data analysis initiatives, ensure accurate datasets, drive market intelligence, and inform key strategic decisions to expand institutional partnerships.
Test/evaluate new alternative datasets, automate extraction of predictive features, manage data science projects, operate various methods including NLP, collaborate with data engineers and researchers
Featured Jobs
Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.
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Passionate about using data to transform the future of marketing? Thrive in dynamic environments? Join our global creative agency as a Senior Data Scientist. Use Python and R for machine learning and data visualization to drive engagement and results for top brands like KFC and Mercedes Benz. Enjoy flexible working, continuous learning opportunities, and a supportive work culture focused on diversity, equity, and inclusion.
Lead the development and implementation of core data analytics capabilities within the division. Mentor and develop junior talent. Align data analytics initiatives with the organization's data strategy. Forge partnerships with business stakeholders to drive value from data.
Play a key role in enhancing and refining CRM activities focusing on financial aspects. Use data insights to enrich customer interactions, craft targeted email marketing strategies, and ensure effective use of CRM tools. Collaborate with cross-functional teams to drive business goals and OKRs.
Lead high impact projects related to data and modelling, with a specific focus on Marketing and Customer Engagement. Plan experiments, engage with senior stakeholders, and collaborate with cross-functional teams to drive business decisions and improve products.
Lead the technical work of the team through experimentation, design, and implementation of state-of-the-art models and algorithms. Partner with Product to identify key areas of improvement and research. Be a champion for the technical and operational aspects of the team's stack. Support team members' development and champion learning and experimentation within the team.
Looking for a Data Engineer to join Our Future Health's team to work on NHS data solutions at industrial scale. Responsibilities include building data pipelines, processing and quality control of participant data, and collaborating with researchers and stakeholders. Technical requirements include proficiency in Python, experience with data lakes, cloud environments, and data transformation/storage formats.
As the Global Data Lead, you will play a pivotal role in setting the direction for Constellation’s data services across the globe. This role offers an unparalleled opportunity to shape data-driven strategies that enhance consumer experiences, drive sales, and optimize return on investment.
As a Data Analyst for the DAZN Women's Sport team, responsibilities include collecting and analyzing social media data, preparing reports, maintaining databases, and providing data insights for women's football growth and partnerships.
Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.
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.
Exciting opportunity for a Senior Data Scientist at Monzo to super charge user engagement and build a bank that customers love. Responsibilities include using data-driven insights to enhance communication strategy and drive company-wide understanding of user lifetime value. Requires expertise in analytics, data science, and CRM.
The Senior Data Scientist at Builder.ai will be part of the Intelligent Systems team based in London, collaborating with global teams to drive innovation using cutting-edge data science and AI technologies. Responsibilities include utilizing generative AI, optimizing customer journey with knowledge graph, data analysis for insights, and more. Requires PhD or advanced Masters in relevant fields, hands-on experience in various AI areas, industry experience, Python proficiency, and expertise in GIT.
Join Remote as a Payroll Automation & Data Specialist to work collaboratively with cross-functional teams in delivering outstanding payroll services globally. Responsibilities include analyzing business processes, developing automation solutions, creating BRDs, and collaborating with various teams to solve complex problems.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
As a Data Scientist with Compliance expertise, you will analyze unstructured communications data for regulatory compliance and risk mitigation. This role involves generating insights, performing data analysis, assisting in data annotation, and collaborating with stakeholders. Required qualifications include a Bachelor's degree in a relevant field, 2+ years of data analytics experience, knowledge of financial regulations, and proficiency in Git, Linux/Unix, and IDEs. Preferred qualifications include a Master's degree and familiarity with cloud computing platforms. The company, Smarsh, values collaboration, innovation, and diversity in its culture.
Seeking a skilled Data Analytics Engineer to integrate data analysis with engineering while navigating complex analytical challenges. Responsibilities include collaborating with teams, maintaining data models, ensuring data quality, and providing technical support to stakeholders.
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