1,051 to 1,075 of 1,644 Data Science Jobs in London

simulation technology which improves the speed, quality and execution of decisions across enterprise. Using a computational twin framework, it goes beyond business intelligence and data science to connect AI models and siloed data from across organisations, and enable decision intelligence on a new scale. In line with … Acting as the technical representative of Frontier in initial customer meetings, demonstrating personal and organisational credibility Working with sales, delivery and machine learning/data scientists to ensure effective pitch and delivery of solutions Contributing high-quality, persuasive written content to proposals What we will look for Experience working … as a data scientist, machine learning or software engineer, combined with delivering projects directly to customers Demonstrable ability to think creatively about solutions - particularly in circumstances where there are gaps in data or technology Experience designing and selling solutions with a bespoke ML/DS element Expertise understanding More ❯

Crime Investigations Expert specializing in detecting and preventing illegal financial activities such as money laundering, fraud, and corruption. Your role involves analyzing complex financial data and transaction patterns related to our Ecash/Digital Wallets solutions, identifying suspicious activities, conducting investigations, and preparing detailed reports. What Paysafe stands for … to Ecash/Digital Wallets , analyzing suspicious transactions and customer behavior Identify risks and organized crime indicators through transaction pattern analysis, focusing on big data Maintain FC KPIs within risk appetite and oversee daily reviews of financial activities Build and sustain relationships with partners, banks, and merchants Collaborate with … internal teams such as account management, risk, data science, analytics, and compliance Ensure timely reporting of suspicious activities to regulators like FCA, CBI, and Italian FIU Support automation and improve processes in financial crime detection Monitor emerging fraud trends and regulatory changes Engage with various business channels, overcoming More ❯

an objective and sustained approach to incrementality and acquisition efficiencies. Drive robust and detailed measurement and reporting processes. Work closely with Global Insights and Data Science teams to identify and convert data analysis into actionable insights for customer acquisition. ABOUT AUDIBLE Audible is the leading producer and … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal … data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers More ❯

across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the … will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire … that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable More ❯

Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture … Product Manager to help deliver our strategic Insights capability. This is a special opportunity to transform the experience of our platform, utilising multi-source data to drive unique and valuable workplace insights. This role is suited to a PM who is comfortable bringing structure to ambiguity, and can bring … collaborate across teams, cultures and timezones will be crucial. What you'll spend your time doing: Collaborating deeply with the team's People Scientist, Data Scientists, Designer and Engineers to discover and validate the needs of our customers and users to drive and enhance product market fit, including in More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With … deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the … influence global retailers and brands. Joining our growing Design team, you'll work with world class and passionate people to unlock the value of data for our Retail and Brand clients through our portfolio of digital solutions powered by data science. What you'll be working on A More ❯

enabled by economic prosperity that lifts society up. That's why we empower British businesses and government to harness the power of AI and data analytics, so they can create value for people, not just profits. By working with brave and ambitious organisations who share our vision, we're … high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI. Drive Innovation and Transformative Solutions with Data & AI QuantSpark, are seeking a consulting focused Senior Engagement Manager to deliver … guidance and best practices to support their business transformation goals. Foster Collaboration: Coordinate cross-functional delivery teams, ensuring alignment, efficiency, and excellence across technology, data science, and consulting functions. Solve Unique Challenges: Apply creative thinking to address client-specific problems, leveraging cutting-edge technologies like Generative AI to More ❯

Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: PhD in economics or … thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your … to see the impact of your recommendations. You will be part of a team of independent consultants working under Google's Chief Economist, leveraging data and advanced econometric techniques to provide valuable insights and guide decision-making. You'll work closely with our Chief Economist to review impact studies More ❯

London. This is an established organisation, known for developing proprietary models and maintaining strong internal pricing capabilities. Their small, specialist quant team drives pricing, data science, and sports modelling across multiple sports. About the Role A Senior Quant Analyst who will report to the Head of Quant, and … Builders, shaping market expansion through innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine More ❯

London. This is an established organisation, known for developing proprietary models and maintaining strong internal pricing capabilities. Their small, specialist quant team drives pricing, data science, and sports modelling across multiple sports. About the Role A Senior Quant Analyst who will report to the Head of Quant, and … Builders, shaping market expansion through innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing, or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a More ❯

and implement engineering solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Working closely with sales teams to identify clients' needs and develop customised solutions. Provision of expertise on quantitative methodologies, technological … Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 5 years of experience in a front office development role at a major investment bank. Essential Skills: Experience of … Hands on programming in Python Familiarity with modern UI frameworks * Experience of liaising directly with front office users in sales or trading Experience with data science and visualization Preferred Skills: Experience in developing models and tools for pricing, analysis, and risk management. Market/product knowledge in one More ❯

and implement engineering solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Working closely with sales teams to identify clients' needs and develop customised solutions. Provision of expertise on quantitative methodologies, technological … Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 5 years of experience in a front office development role at a major investment bank. Essential Skills: Experience of … Hands on programming in Python Familiarity with modern UI frameworks * Experience of liaising directly with front office users in sales or trading Experience with data science and visualization Preferred Skills: Experience in developing models and tools for pricing, analysis, and risk management. Market/product knowledge in one More ❯

CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long … term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent data engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working … with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production. Responsibilities Collaborate with data scientists and research/machine learning engineers to deliver products to production. Build and More ❯

the implementation of AI-powered systems that solve complex business challenges. You will work across large-scale digital transformation programmes, collaborating closely with engineers, data scientists, and business stakeholders to ensure AI initiatives are aligned with strategic objectives. Key Responsibilities Lead the architectural design of advanced AI and machine … implement appropriate technologies, platforms, and frameworks Ensure AI solutions are secure, scalable, explainable, and ethically sound Provide technical leadership and mentorship across engineering and data science teams Stay current with industry developments and bring forward innovative ideas and approaches Experience Required Strong experience in AI/ML solution … platforms such as AWS, Azure, or Google Cloud Familiarity with tools and frameworks such as TensorFlow, PyTorch, MLflow, SageMaker, or Databricks Deep understanding of data architecture, APIs, and model deployment best practices Knowledge of MLOps and full model lifecycle management Excellent communication and stakeholder management skills Desirable MSc or More ❯

Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven experience … skills. Proficiency in Python and familiarity with modern UI frameworks. Experience in liaising directly with front office users in sales or trading. Knowledge of data science and visualization. Preferred Skills: Experience in developing models and tools for pricing, analysis, and risk management. Market/product knowledge in one More ❯

Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven experience … skills. Proficiency in Python and familiarity with modern UI frameworks. Experience in liaising directly with front office users in sales or trading. Knowledge of data science and visualization. Preferred Skills: Experience in developing models and tools for pricing, analysis, and risk management. Market/product knowledge in one More ❯

scraping projects at scale Javascript for front-end work (vanilla is fine; experience with frameworks is a bonus - we use React) (Desirable) Experience with data processing pipelines Any experience with Python (we're using this more and more) (Desirable) Experience building and consuming REST APIs Experience working with and … We're looking to hire an enthusiastic and talented mid-weight PHP developer to join our tech team and help us further develop our data processing pipeline and web platforms. We deploy daily, and you'll be making changes customers can see from day one. Some key projects on … our roadmap this year include migrating key sections of our app from legacy code to Laravel and React, and working with our data team to integrate machine learning models into our data pipeline and front end. You'll be joining us at an exciting stage of development, and More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With … deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the More ❯

About the role Our team's objectives The data science team develops proprietary risk models which are core to the company's success. We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self … monitoring, without a separate machine-learning-engineering team. How you'll impact those objectives Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Rigorously search for the best models that enhance underwriting … a team environment Self driven and willing to lead on projects/new initiatives Nice to Have Interest in machine learning engineering Interest in data engineering Prior experience with credit risk modelling Prior experience with use of LLMs for document question answering The interview process For this role we More ❯

Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across … objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In … involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in More ❯

Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across … objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In … involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience More ❯

Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the … recognize the unique perspectives each individual brings to our team. We are a Microsoft Azure-focused consultancy and services company, specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as one of Microsoft's top 10 Generative AI partners in the UK, we offer the opportunity to More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With … deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the … our products and clients. As part of our growing Design team, you'll collaborate with world-class, passionate professionals to unlock the power of data for our retail and brand clients through innovative, data-driven digital solutions. What you'll be working on As part of a fast More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities: Design, build … and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across teams Champion data quality, governance, and … Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in More ❯