Top Data Science Jobs in London
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.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. Responsibilities include utilizing advanced data analytics, collaborating with stakeholder teams, designing and conducting experiments with data, and maintaining systems for data access.
Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.
Seeking a Senior Data Analytics Engineer contractor to shape the future of data models and analytical capabilities, collaborate with teams, and deliver actionable insights. Responsible for data modeling, integration, automation, and fostering a data-driven culture. Must have expertise in SQL and experience with various tech tools and platforms.
As a Data Scientist at Voleon Capital Management, you will be responsible for data curation, analysis, interpretation, visualization, and communication of insights to the research staff and leadership. The role involves designing systems, analyzing data using statistical methods, and developing analysis pipelines for monitoring trading and research systems.
Design and implement high-performance, reusable, and scalable data models for data warehouse using dbt and Snowflake. Collaborate with data analysts and business teams to provide data for analysis and reporting. Improve analytics engineering workflows and platforms.
DataCamp is seeking a Data Science Evangelist to drive the company's growth strategy, focusing on marketing, teaching, and thought leadership. Responsibilities include organizing webinars, code-alongs, creating thought leadership content, managing events, and representing DataCamp at conferences. The ideal candidate should have advanced programming skills in Python or R, deep knowledge in data science and related fields, extraverted personality, organizational skills, and relationship management skills.
Create high-quality predictive signals by leveraging large datasets and identifying statistical patterns. Share and discuss research results and methodologies with other researchers. Pursuing an advanced degree in quantitative fields like data science or statistics.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
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.
As an Analytics Engineer at Epsilon, you will lead projects in developing attribution models, statistical interpretations, and identifying key drivers of technology success. This hybrid role involves collaborating with global teams and working on high-impact data innovation for Yieldify & Epsilon.
Seeking an experienced Data Engineer with 3+ years of experience to build and maintain data pipelines for alternative commodity and macro data, collaborate with traders and researchers, develop scalable data architectures, ensure data accuracy and reliability, and optimize workflows.
Join a fast-growing cleantech venture as an Analytics Engineer to work with data, prepare it for analysis, and optimize the data warehouse. Experience with DBT, SQL, data modeling, and cloud data platforms preferred.
As a Lead Data Engineer (Consultant) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, ensure code quality, and meet user needs. Responsibilities include development, design, testing, coaching, and technical advisement.
Ophelos is building software and AI products to help individuals and businesses manage debt in a more humane and efficient way. They are looking for talented Data professionals to join their team in the future.
Seeking a Data Scientist with a strong interest in climate to support a climate product suite at ESG Book. Responsibilities include defining product requirements, developing methodologies and models, supporting testing and validation, and staying updated on the latest trends in climate. Proficiency in Python, SQL, and a strong background in Data Science and Machine Learning are required.
Quantexa is seeking a Data Engineer to join their Data Engineering & Demos team. The team focuses on developing data engineering tools and best practices for Quantexa projects. Responsibilities include developing standard code for cleansing and standardizing data, finding efficiency improvements through big data testing, and owning best practices in entity resolution and network building. The role involves working with internal stakeholders to design and develop solutions.
Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.
Exciting opportunity for a Principal Data Engineer at Ogury to shape the future of their data platform, enable data-driven decisions, and maintain high data quality standards. The role involves defining the long-term vision, building and leading the data platform, implementing data solutions, mentoring team members, and promoting data engineering best practices.
Data Engineer responsible for understanding, cleaning, managing, and sharing trading data. Analyzing datasets, automating ETL processes, and collaborating with traders and software engineers. Prior financial data experience not required.
.jpeg)
Seeking candidates with quantitative research experience and knowledge of systematic strategies across various asset classes for alpha research, portfolio construction, and tool development. Requires expertise in Python, C++, and Linux with a strong background in data structures and algorithms.
Seeking an experienced Data Scientist II to support critical business decisions and improve user experience for travelers. Responsibilities include hypothesis testing, A/B test analysis, and stakeholder management. Requires 3+ years of experience in data science and analytics with proficiency in SQL, Python, and R.
Join the global Data Platform Engineering team at Veeva OpenData Commercial as a Data Engineer to build data tools, collaborate on data solutions, and automate quality control processes.
Hiring a Principal Data Scientist with deep expertise in machine learning and AI, industry experience in Financial, Logistics, Supply Chain or ERP sectors, and a focus on developing production quality solutions with a significant business impact. Responsibilities include leading data-science projects, data acquisition, model development, statistical analysis, and ensuring ethical AI solutions. Collaborating with engineering, Integrations, and product management teams to deploy innovative business solutions.
All Filters
No Results
No Results
