676 to 700 of 1,902 Data Science Jobs in London

role on the SEM Operations team, you'll work in an entrepreneurial environment and drive optimization of search marketing coverage processes globally, partnering with Product, Technology, Trading, Analytics and Data science teams to improve SEM accounts performance. If you are interested in being on the cutting edge of digital marketing and leveraging your project management and analytical skillset … to improve SEM products and influence prioritization Maintain internal/external relationships with the wider Marketing organization and Partners on strategic initiatives Experience and Qualifications: Undergraduate degree in Mathematics, Science, Statistics, Analytics, Engineering, or any related technical field Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends and make decisions … and strong organizational skills Ability to excel in a fast-paced environment Strong communication skills (written and verbal) No prior SEM experience required but preferred; must be interested in data-driven online marketing Fluent in English, additional language a plus Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability More ❯

leadership in sales and trading. 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 in designing, building, and supporting … Excellent written and verbal communication 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 or more asset classes. Apply More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … we ensure businesses get the funds they need - often within minutes. The team You'll join the Core Systems team, who optimise development, build data systems, and continuously improve iwoca products. They follow Agile-inspired processes, using continuous integration and delivery so that features go live in days or weeks, not months or years. The role You'll influence … iwoca's tech strategy to make our systems more reliable and as we get closer to our goal of funding one million businesses. The role will focus on complex data systems and flows that power multiple internal products and services. Our biggest reliability challenges aren't sudden spikes in users or data volume - they're the accumulating complexity More ❯

that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists, and data engineers in prototyping and productizing state-of-the-art ML models that allow us to find the right audience for content that is strategically important, such as fresh or … Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Help drive optimization, testing, and tooling to improve quality of our recommendations Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning tech research, data science, product management, and engineering to build new … up-to-date on the latest machine learning algorithms and techniques Who You Are You have professional experience in applied machine learning Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS) You have some hands-on experience implementing or prototyping machine learning More ❯

ourselves on delivering exceptional and engaging digital experiences. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … market. Define AI maturity, roadmaps, and use cases for our clients. Guide on prioritisation based on business impact and technical effort. Design (together with technical experts) and advise on data science and generative AI solutions for various business problems. Bring innovative ideas and emerging technologies to the table, fueling innovation within our teams. Communicate solutions and strategies effectively … to clients and team members. WHAT WE ARE LOOKING FOR Relevant, hands-on working experience in a data science role, preferably related to digital platform and marketing data and/or working at a digital agency. Client facing or consultative experience, ideally with UK&I businesses. Someone who is comfortable with presenting and working with a variety More ❯

technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. About the role As a highly operational business, we rely on data science to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. We're looking for … an exceptional Senior Analytics Engineer to help us build our data foundations. In this role, you will:Partner closely with engineers and business leaders to design and build Relay's core data models. In this role, you will: Partner closely with engineers and business leaders to design and build Relay's core data models Take ownership of … Relay's data infrastructure, including our ingestion, ETL, data quality monitoring and data catalogue. Collaborate with team members across every function and business area at Relay. Regularly spend time in the field understanding how your data models match the on-the-ground reality for our couriers and end-consumers. As the Analytics Engineer at Relay, you More ❯

advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar More ❯

advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar More ❯

re here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we … strategies, with a focus on identity fraud, payments fraud, account takeover (ATO) and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will develop a deep understanding of MoonPays fraud prevention capabilities and collaborate with cross-functional teams including data science, security … fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment. What you will do Develop in-depth knowledge of MoonPay's data sources, user behaviour and products and services to gain insights into fraud patterns and assist in building out the Trust & Safety strategy; Provide Fraud subject matter expertise on new More ❯

Power, Utilities, Transport, Oil and Gas, Defence, Health and Education. We are strengthening our InfraTech capability to meet increasing demand from these organisations in support for how to use data, analytics and technology to unlock value from their assets and infrastructure. This is a fast-growing area offering exciting opportunities, building upon our global capabilities in Infrastructure, Asset Management … and Data Analytics. We are seeking an ambitious and innovative professional who is passionate about infrastructure and technology to join our Asset Management Advisory (AMA) team, with the skills and desire to combine the two to drive improvements for our clients. You will be responsible for helping grow and deliver our InfraTech business, working with client organisations and other … solutions for client challenges Work with KPMG's Global InfraTech network to identify, develop and deploy appropriate tools and methodologies Work with KPMG's and Client’s technology and data analytics teams to develop and deploy proof of concepts and solutions Use your analytical skills to bring new insights to clients Support change management of client teams to embed More ❯

Power, Utilities, Transport, Oil and Gas, Defence, Health and Education. We are strengthening our InfraTech capability to meet increasing demand from these organisations in support for how to use data, analytics and technology to unlock value from their assets and infrastructure. This is a fast-growing area offering exciting opportunities, building upon our global capabilities in Infrastructure, Asset Management … and Data Analytics. We are seeking an ambitious and innovative professional who is passionate about infrastructure and technology to join our Asset Management Advisory (AMA) team, with the skills and desire to combine the two to drive improvements for our clients. You will be responsible for helping grow and deliver our InfraTech business, working with client organisations and other … solutions for client challenges Work with KPMG's Global InfraTech network to identify, develop and deploy appropriate tools and methodologies Work with KPMG's and Client’s technology and data analytics teams to develop and deploy proof of concepts and solutions Use your analytical skills to bring new insights to clients Support change management of client teams to embed More ❯

growth of our P&C (re)insurance clients. With your expertise in P&C (re)insurance, your deep expertise in exposure management of complex risks, and your skills in data modelling and analysis, you will enable our clients to make faster, more accurate, and better-informed decisions through our SaaS platform. If you are eager to sit at the … specific challenges across all P&C lines including Property (nat cat and non-cat), Cyber, Casualty, Energy, Political and Credit Risks, Aviation Conduct in-depth audit of their portfolios, data, and processes, and identify optimization levers for more efficient exposure management. Clean, reconcile, and analyze exposure data to ensure the quality and reliability of delivered results. Perform advanced … zone, real-time event simulation, stress tests, deterministic scenarios, and prepare for the unexpected. Built compelling reports and visualizations to help clients make informed decisions. Collaborate closely with our Data Science and Product teams , sharing clients feedback and contributing to the continuous improvement of our tools and calculation methods. What we offer : We're building a company where More ❯

and do what's best for Bloomberg You'll need to have 5+ years of experience in technical product management Experience working with developerteams and productionizing AI or other data-intensive applications Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits Deep understanding of software development best practices Organizational and communication skills to effectively coordinate and … managers, and senior management A product-driven focus and track record of shaping business strategy and roadmaps for technical products We'd love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and More ❯

is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team The Broker team is responsible for building, nurturing and optimising relationships with brokerages that work with iwoca and if … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … engineering, ideally with Python Ability to manage projects from beginning to end; understand a business problem, design and execute a solution, and communicate with stakeholders Bonus: An understanding of data analysis and statistics A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. Experience with Django Experience with More ❯

with business priorities, product strategy, and customer impact — ensuring that operational transformation directly contributes to measurable value. 2. Stakeholder Engagement & Communication Serve as a trusted advisor across senior leadership, data/tech leads, and business stakeholders to align on a shared vision and outcomes. Facilitate open and structured communication channels that foster transparency, collaboration, and continuous feedback. Translate strategic … and maintain outcome-focused dashboards and reporting frameworks to measure the impact of change at both team and enterprise levels. Track business-aligned KPIs such as delivery cycle time, data quality, user satisfaction, and commercial outcomes. Provide leadership with insight and confidence that transformation is not just happening, but delivering clear, measurable business value . What We’re Looking … architecture. CI/CD, pipelines development, Infrastructure As a Code Monitoring and alerting tools and practices Experience with agile methodologies, security, performance and DevOps practices Bonus: Degree in Computer Science, Engineering, or Data Science or equivalent Bonus: A consulting background effecting change in technical organisations Why Join Us? Be part of a mission-critical transformation that will More ❯

with business priorities, product strategy, and customer impact — ensuring that operational transformation directly contributes to measurable value. 2. Stakeholder Engagement & Communication Serve as a trusted advisor across senior leadership, data/tech leads, and business stakeholders to align on a shared vision and outcomes. Facilitate open and structured communication channels that foster transparency, collaboration, and continuous feedback. Translate strategic … and maintain outcome-focused dashboards and reporting frameworks to measure the impact of change at both team and enterprise levels. Track business-aligned KPIs such as delivery cycle time, data quality, user satisfaction, and commercial outcomes. Provide leadership with insight and confidence that transformation is not just happening, but delivering clear, measurable business value . What We’re Looking … architecture. CI/CD, pipelines development, Infrastructure As a Code Monitoring and alerting tools and practices Experience with agile methodologies, security, performance and DevOps practices Bonus: Degree in Computer Science, Engineering, or Data Science or equivalent Bonus: A consulting background effecting change in technical organisations Why Join Us? Be part of a mission-critical transformation that will 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 a related field with a focus on macroeconomics, industrial organization … s leadership team hand-picks 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 recommendations to senior-level executives … implementation and check back-in 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 (including economic and AI-related More ❯

engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory … such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage … quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java). Excellent More ❯

innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration: Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support: Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … as a senior engineer working in small, high-performing teams alongside engineers from other disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to More ❯

engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory … such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage … a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication More ❯

around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯

around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … effective Forecasting capacity needs for each team to eliminate operational bottlenecks. Evaluating the value of contacting customers at different points in the customer journey and testing these approaches. Conducting data analysis to inform your work and shape effective solutions. This involves conducting your own analysis and working with our Operations Strategy Data Scientists to get even more analytical … distil complex information into key points so that it is succinct and engaging in both written and verbal forms, and accessible to a range of stakeholders (whether that's Data Scientists, operations managers, C-level, etc.) Bonus: Experience with Python or SQL. If you don't have commercial experience then we'd want you to have enthusiasm to learn More ❯

is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible … for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile of our UK portfolio are effectively managed. Key responsibilities of this critical role … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯