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Top Data Science Jobs in London
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
As the Head of Treasury Analytics & Data Science, the role involves developing analytics strategy, improving machine learning models, and building insights to guide financial risk management. Leadership includes managing a high-performing team and collaborating with various departments for data-backed decision making.
As a Data Science Associate at JPMorgan Chase, you will collaborate with business partners and domain experts to analyze data, provide actionable insights, and support business decisions. Responsibilities include performing data analysis, automating processes, and presenting findings through effective visualizations, all within an agile team environment.
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.
As a Data Analytics Principal Consultant, you will lead and drive the growth of the Data practice, developing capabilities in analytics programs for financial services clients, and fostering a collaborative culture while mentoring junior data practitioners.
Lead the Growth Data Team in a product data science role, driving data-driven decision making and product innovation at Monzo.
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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 Science Content Developer at DataCamp, you will create and maintain high-quality data science content, write automated tests, and manage course development processes. You'll collaborate with instructors and make data-driven improvements based on learner feedback.
The Senior Manager of Marketing Growth Insights & Analytics will partner with the marketing team to deliver analytics insights, measurement frameworks, and recommendations for marketing strategies. This role includes synthesizing market intelligence and analytics to inform decision-making, driving quarterly business reviews, and collaborating with financial teams for forecasting and KPI monitoring.
The Data Science Lead role involves managing a team of data scientists, driving the technical vision for the analytics platform, and bridging the gap between data engineering and data science. Responsibilities include mentoring team members, collaborating with cross-functional leads, and establishing standards for data processing and analytics.
The role involves conducting research to discover new overseas marketing opportunities, designing machine learning algorithms to optimize online marketing strategies, analyzing large datasets for insights, collaborating with teams on research initiatives, and keeping abreast of industry trends.
The role involves providing strategic guidance to clients on leveraging data for business value. Responsibilities include conducting data assessments, developing architecture blueprints, enabling data governance, and supporting business development through presentations and proposals.
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 Senior Data Scientist with an MLOps focus, you'll lead complex project developments, provide consulting, implement data science solutions, advocate for DevOps principles, and ensure alignment of technical solutions with business needs while mentoring the team.
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.
The Data Scientist will lead innovative solutions by leveraging machine learning algorithms, defining data pipelines in MS Azure, and collaborating with design teams to integrate data insights into the design process, all while supporting a data-driven community within the firm.
The Data Science Manager in the Defence sector will lead large-scale AI and ML projects, providing expertise to data science teams while communicating with stakeholders. Responsibilities include overseeing data delivery, model development, mentoring team members, and ensuring adherence to architectural principles and standards.
As a Data Scientist on the Marketplace team, you will define metrics, produce insights, and develop predictive models to optimize the ride-hailing experience. You will work closely with Data Analysts to create a framework for performance measurement and improve the internal reporting capabilities for the team and leadership.
As a Data Scientist at Moneyhub, you will generate value from diverse data sources, focusing on machine learning applications for transaction categorization, and improve data science products to enhance budgeting and affordability features.
As a Senior Data Scientist, you will leverage data to drive marketing transformations, focusing on advanced analytics and machine learning methodologies to optimize customer engagement and brand strategies. You'll work collaboratively in a hybrid environment, contributing your expertise to solve complex challenges for high-profile clients.
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