626 to 650 of 1,824 Data Science Jobs in London

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯

Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯

twentyAI are partnering with a globally renowned law firm currently undergoing a major digital and data transformation. With a deep-rooted legacy in legal excellence and a strong global footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers … and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the … business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily Terraform, to automate and manage cloud infrastructure, enabling repeatable and reliable deployment processes. Collaborate closely with data scientists, MLEs, and business teams in an agile environment to deliver data More ❯

twentyAI are partnering with a globally renowned law firm currently undergoing a major digital and data transformation. With a deep-rooted legacy in legal excellence and a strong global footprint, the firm is currently modernising their data capability and building a new data platform. About the Role You will be part of a diverse group of engineers … and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business to access trusted, well-structured data. You will also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the … business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily Terraform, to automate and manage cloud infrastructure, enabling repeatable and reliable deployment processes. Collaborate closely with data scientists, MLEs, and business teams in an agile environment to deliver data More ❯

Data Scientist, Ad Fraud Detection, Traffic Quality ML Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key … traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning … to identify gaps in current solutions as well as prototype new algorithms that close the gaps. The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and strong breadth in machine learning. The candidate should also have good programming and design skills to implement machine learnings algorithms in practice on More ❯

A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield. Responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. … AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker … PyTorch/TensorFlow; clean, tested code. Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform. SQL mastery for heavy-duty data wrangling and feature engineering. Experimentation chops - offline metrics, online A/B test design, uplift analysis. Production mindset: containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. More ❯

Senior Data Scientist - Optimisation (Contract) Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site) The brief A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both … accuracy and yield. Core responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI …/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. A typical day Morning stand-up: align on performance targets and new constraints. Data dive: explore panel behaviour in Python/SQL, craft new features. Modelling sprint: run More ❯

Senior Data Scientist - Optimisation (Contract) Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site) The brief A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both … accuracy and yield. Core responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI …/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. A typical day Morning stand-up: align on performance targets and new constraints. Data dive: explore panel behaviour in Python/SQL, craft new features. Modelling sprint: run More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional time … that extract meaningful metrics of brain function and autoregulation, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases Develop, prototype, and apply signal processing and machine learning models to interpret physiological … signals such as cerebral blood flow, cerebral autoregulation Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways Produce More ❯

control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

and developers and always will. We also believe that remarkable talent, enthusiasm, and creative thinking add up to great work. We're looking for someone with superb python and data science skills to join our team and help shape the future of language technology. The most successful candidate will be a quick learner who is excited to train … on a wide variety of writing and code based prompts. We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. Our AI Data Trainers … ensure that all samples fed to our AI model are well-written, technically sound and useful to the end user. By creating content that data scientists would find useful, working python, or on use cases you will be an essential component of improving our Large Language Model's performance for iterations to come, thus having a lasting impact on More ❯

Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and … the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. More ❯

Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and … the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. More ❯

We are seeking an experienced Business Intelligence Analyst with a strong background in data analysis, report generation, and dashboard design to work with our client in the defence sector. The ideal candidate will have 3+ years of experience in business intelligence, reporting, or a related field and will play a key role in providing actionable insights that support data-driven decision-making. As a critical member of the team, you will be responsible for analysing organisational data, identifying trends, and recommending solutions that drive performance improvements. DV Clearance is required for this position. Key Responsibilities: Develop, design, and maintain comprehensive reports and dashboards that provide stakeholders with clear insights into key performance indicators (KPIs) and overall organizational … all levels of the organization. Use analytical tools and techniques to identify emerging trends and potential opportunities for process improvements, helping the business become more efficient and effective. Provide data-driven recommendations to enhance business strategies, operational efficiencies, and overall performance. Work closely with cross-functional teams, including business leaders, data scientists, and technical teams, to ensure the More ❯

Increasing with length of service Role overview: Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azures native platform and in DataBricks. You will be working closely with data scientists in a skills crossover methodology, and will contribute to the data science workflow, discussions and development, but still maintain a key function in the graduation of models … from research into production. This is an ideal role for an individual who is passionate about the use of data science to influence decisions and is keen to learn more about delivering value using data. Key responsibilities Ownership of the deployment framework for all data science services. You will have oversight of how data will More ❯

Job Description: Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our … for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End … To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability More ❯

that result in low levels of production issues Awareness of industry best practice and new and upcoming technology trends Full solution architectural understanding across networking and software Experience of data programmes and data technologies, ideally gained within an enterprise scale organisation or within technology or development team or similar. Technical exposure to and/or experience in a … range of technologies and architectural best practice concepts, specifically Data Engineering Design Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of implementations for Operational (near real time data management and analytics) and MI (‘aged’ data) data modelling and reporting Exposure and passion for new and emerging data technologies and trends Exposure to concepts of Data Governance (e.g. Data Quality, Data Management, Data More ❯

that result in low levels of production issues Awareness of industry best practice and new and upcoming technology trends Full solution architectural understanding across networking and software Experience of data programmes and data technologies, ideally gained within an enterprise scale organisation or within technology or development team or similar. Technical exposure to and/or experience in a … range of technologies and architectural best practice concepts, specifically Data Engineering Design Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of implementations for Operational (near real time data management and analytics) and MI (‘aged’ data) data modelling and reporting Exposure and passion for new and emerging data technologies and trends Exposure to concepts of Data Governance (e.g. Data Quality, Data Management, Data More ❯

Quantitative Developer - C++ Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems.As part of the vision the firm is looking to hire a quantitative developer to work on the next generation price and risk analytics platform.In addition to contributing to the development of … eco-system around the library, including communication with other departments and groups within the firm Promote C++ coding and design best practices Requirements Bachelor's degree in Maths, Computer Science, or other relevant discipline (higher qualification is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C+/20 or above Knowledge … of design patterns, data structures and algorithms Ability to write efficient, high performing code. Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail oriented, organised, demonstrating thoroughness and strong ownership of work Optional: - Experience working with pricing/risk analytics libraries - Experience working with cross More ❯

the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business … Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service … analytics roadmap and direction for the domain and work with stakeholders and partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and More ❯

center of Amazon's innovation. As a key member, you'll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies. … journey and be part of redefining the vehicle shopping experience. Key job responsibilities As an Applied Scientist in Amazon Autos, you will: - Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain. - Drive big picture innovations with clear roadmaps for intermediate delivery. - Apply your skills in areas such as deep learning and … Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. - Interface with business customers, gathering requirements and delivering science solutions. - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. - Effectively communicate More ❯

Development, deploy and maintain AI systems and services in the healthcare domain to find more untreated patients London Technical share this Pangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science … advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis). The Role Pangaea Data is looking for talented engineers to join its technical team and focus on the development, deployment, and maintenance of AI systems and services in the healthcare domain. The ideal … engineering background and experience in deploying AI-based solutions. Key Responsibilities Technical Responsibilities : Design and develop backend systems that integrate healthcare AI/LLM modules for tasks such as data extraction, summarization or decision support. Design and implement systems that integrate with the client side such as Web UI or EHR system. Implement and maintain CI/CD pipelines More ❯

Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML … models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer … ML models and work independent. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate More ❯

This position is responsible for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, data science, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within reasonable scope of the … of client and internal research and development projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise. … values and leadership principles. Engage proactively with Environment, Health, Safety and Sustainability policies to ensure a safe working environment. Comply with quality policies to deliver consistent, high-quality work, data, and reports. Read and understand assigned Standard Operating Procedures (SOPs) within specified timeframes. Maintain up-to-date training records and submit for regular review. Submit timesheets, expense claims, and More ❯