1,476 to 1,500 of 1,779 Data Science Jobs in London

heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity … of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce … as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. We are looking More ❯

Re7 Capital is a London-based crypto-asset investment firm where we utilise our deep crypto network, knowledge of the crypto market, and proprietary data infrastructure to drive investment decisions for various fund strategies and DeFi projects. The Re7 team is dynamic, with a strong background in investment management … data science, and crypto. Our DeFi Labs team is highly respected for curating lending and borrowing vaults. Due to the rapid growth of our business, we need an Associate to provide essential support. This role is central to researching, onboarding, and managing clients for our Liquidity Fund and More ❯

to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Take ownership of designing, developing, and shipping high-quality software … things done. Effectively communicate technical decisions and outcomes, providing clarity and direction for both technical and non-technical stakeholders. Requirements: A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. 5+ years of experience building software in a fast-paced, results-driven … with a focus on continuous delivery. Proven ability to work cross-functionally and push for action across product, design, and business teams. A strong, data-driven mindset that allows you to make quick decisions and measure the success of your work effectively. Clear, concise communicator with the ability to More ❯

research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications: Master's or PhD in computer science, statistics, or a related field. 2-7 years of experience in deep learning, machine learning, and data science. Proficiency in coding and software … Python or other languages; command line usage; familiarity with Linux and AWS ecosystems. Understanding of statistical measures such as confidence intervals, error significance, and data set development and evaluation. Excellent written and spoken communication skills; ability to collaborate effectively in a distributed, cross-functional team. Research publications in AI …/ML venues of repute. Preferred Qualifications: Experience analyzing data to discover patterns and conduct error/deviation analysis. Ability to develop experimental and analytic plans for data modeling, use strong baselines, and determine cause-and-effect relations. Motivation to achieve results in a fast-paced environment. Strong More ❯

the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims … analyzing, and synthesizing information applied to a live client problem at scale. Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision. The role requires skills in both prototyping and developing individual solutions but also implementation and integration … in a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision. Experience with Large Scale/Big Data technology, such as More ❯

As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams, and software engineers to ensure that machine learning models can be successfully operationalised, monitored, and updated in real-time environments. Key … the full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing workflows and resource usage. Manage and optimize data pipelines, ensuring data … training, testing, and inference at scale, supporting model performance improvements. Design cloud-native, cost-efficient machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and More ❯

worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary … We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing … model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications More ❯

working on the highest impact priorities that contribute to wider business goals. You'll work iteratively and collaboratively with credit risk, design, engineering, research, data science, product marketing, compliance and many others to refine your plan and execute against it effectively. You'll help to shape product strategy … way, or otherwise broke from the industry status quo. You're not satisfied to simply build the same product your competitors offer. You're data driven, passionate about metrics, and intellectually honest about how your work is performing and driven to continuously improve it. You're full of novel … ideas and creative solutions, and able to tease them out of others too. You're comfortable spanning the worlds of design, data, user research, marketing and engineering. You can work effectively with a diverse range of people and working styles to get stuff done, and are able to thoughtfully 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 … 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 … 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 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 … 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 … 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 More ❯

customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps … sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's degree in computer science, computer engineering, or related field - 2+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++ … Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics More ❯

and biostatistics to contribute to meaningful healthcare research. As a key member of our analytics team, you will work closely with statisticians, epidemiologists, and data scientists to analyze large real-world datasets and generate insights that support healthcare decision-making. Key Responsibilities: Assist in the design, execution, and interpretation … of real-world evidence studies, including observational research and health outcomes analyses. Perform statistical programming and data analysis using SAS. Support the development of statistical methodologies and study protocols. Conduct data cleaning, transformation, and quality control procedures. Collaborate with cross-functional teams, including clinicians, data scientists, and … s degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field. Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statistical analysis and data manipulation. Knowledge of biostatistics, epidemiological More ❯

research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with … line usage; familiarity with Linux and AWS ecosystems. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/… ML venues of repute. Preferred Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. The motivation to More ❯

with fresh, untapped resources to design and build digital systems from the ground up. Empower Knowledge-Driven Decisions: Equip teams with tools that put data and insights at their fingertips, making every choice informed and impactful. Influence and Inspire: Bring design thinking to life, fostering a culture that values … communicating technical ideas clearly to non-technical stakeholders. Business Impact - You've delivered substantial results Experience Across Domains - A background in industrial systems, software, data science, simulation, or product development is ideal. Your Day-to-Day: Champion Design Thinking : Develop iterative design strategies that adapt to the needs More ❯

LEAD DATA SCIENTIST £75,000 - £85,000 LONDON – 1 DAY A WEEK *Please note, this company is unable to sponsor, and you must be a UK resident to apply* THE COMPANY Join a fast-growing London-based agency that specialises in performance marketing and cutting-edge technology. The agency … delivers services across paid search and social, data engineering, analytics, and marketing automation. The agency partners with major brands across retail, travel, tech, and entertainment, and runs an inclusive Early Careers Scheme to support entry into marketing and tech. Their mission: to fuel scalable, sustainable growth through data-driven marketing and innovative tech solutions. THE ROLE This performance marketing agency focuses on digital analytics and measurement, delivering long-term, data-driven projects across platforms like Google and Meta. Data Scientists play a key role in experimentation and measurement (including incrementality, attribution, and MMM), as well More ❯

Senior Pricing Data Scientist (FTC - With the view to go permanent) UK – Remote Up to £75,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging … machine learning techniques to optimize pricing accuracy. Automate and streamline pricing model deployment for continuous improvement. Collaborate with key stakeholders across engineering, product, and data teams. Monitor and assess model performance, iterating as needed to drive business value. Conduct A/B testing and impact analysis to assess pricing More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

the Healthcare, Medical or Pharma Sectors ideally. You may be working in a PD, CPO, Head of Product role currently. Working closely with Engineering, Data Science and AI teams you will be key to driving innovative solutions that are key to enhancing patient care, customer journey and enabling More ❯

are looking for someone who can: Lead the technical development of software solutions and products for clients around the world. Work closely with the Data Science team to develop solutions and tooling. Collaborate with senior leadership to turn top-level ideas into concrete development plans. Build back-end More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

best products. Create or contribute to high-fidelity design mocks using Figma. Collaborate daily with peers across disciplines, including engineering, design, research, marketing and data science, to take products from conception to launch. Partner with our internationalization team to ensure product experiences are of the highest quality in More ❯

shared insights. Create and contribute to high-fidelity design mocks using Figma. Work closely with cross-disciplinary peers, including engineering, design, research, marketing, and data science, to guide products from conception to launch. Partner with the internationalisation team to ensure top-quality product experiences in multiple languages. Demonstrate More ❯

shared insights. Create and contribute to high-fidelity design mocks using Figma. Work closely with cross-disciplinary peers, including engineering, design, research, marketing, and data science, to guide products from conception to launch. Partner with the internationalisation team to ensure top-quality product experiences in multiple languages. Demonstrate More ❯

and enterprise companies. A proven track record of driving cross-functional alignment among a broad set of stakeholders, including engineering, sales, support, product, marketing, data science, and senior leadership, to achieve growth targets. Experience in building and scaling a go-to-market (GTM) growth discipline, including the development More ❯