701 to 725 of 813 Data Science Jobs in London

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor … syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor … syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor … syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about More ❯

As a Full Stack Engineer you will be working closely with one or multiple of our delivery teams who are responsible for visualising insights from the output of our data scientists. Working within the Professional & Financial Services team, you'll have the opportunity to deliver solutions to some of the most unique challenges facing customers in that space using … expect your key responsibilities to include Creating reliable, reusable and scalable frontend and backend to enable better delivery of AI systems Leading engineers in a cross-functional team of Data Scientists, Product Managers and Commercial staff to deliver technically sophisticated, high-impact systems. Leading on the architecture and design of projects Offering leadership and management to more junior engineers More ❯

Data Scientist - Customer Experience Location: London (2 days per week on site) Contract Length: 3 months initially, scope to extend Day Rate: £615 per day (Inside IR35) Overview A leading organisation is seeking an experienced Data Scientist to join their Customer Experience and Fraud Compensation team. This role will focus on developing and refining models that explain and … service outcomes. Support the expansion and adaptation of existing models from international teams. Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders. Develop visualisations and concise data stories to communicate findings to senior leaders. Ensure models remain robust, interpretable, and commercially relevant , avoiding unnecessary complexity. Required Skills and Experience Proven experience as a Data Scientist … within a customer, marketing, or consumer analytics environment. Strong proficiency in Python for data manipulation, analysis, and model development. Experience working with Vertex AI Solid understanding of predictive modelling , causal inference , optimisation , or uplift modelling . Demonstrated ability to simplify technical work for senior business audiences. Collaborative mindset with the ability to take on feedback and iterate effectively. Stakeholder More ❯

the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity . What you'll do Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data. Build and … scale high-volume data pipelines handling billions of daily events across distributed systems. Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis . Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies. Contribute to system architecture for low-latency monitoring and high-throughput processing . Continuously improve data quality, reliability … and query optimisation at scale. What we're looking for 5+ years' experience in software engineering , ideally in financial markets, market surveillance, or large-scale data systems . Strong skills in Java (or similar: Kotlin, C#, C++) ; Python is a plus. Proven experience with real-time, low-latency systems and distributed data pipelines . Hands-on with Kafka More ❯

the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity . What you'll do Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data. Build and … scale high-volume data pipelines handling billions of daily events across distributed systems. Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis . Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies. Contribute to system architecture for low-latency monitoring and high-throughput processing . Continuously improve data quality, reliability … and query optimisation at scale. What we're looking for 5+ years' experience in software engineering , ideally in financial markets, market surveillance, or large-scale data systems . Strong skills in Java (or similar: Kotlin, C#, C++) ; Python is a plus. Proven experience with real-time, low-latency systems and distributed data pipelines . Hands-on with Kafka More ❯

for a Senior Backend Developer to join their award-winning InsurTech division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, youd be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your key … and development. Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimising performance of complex data workflows Championing best practice and guiding the junior team members What theyre specifically looking for: C# development experience (.Net 8) Experience designing and implementing solutions in Azure (PaaS/… SaaS, Cosmos DB, Batch, Blob, Azure Functions etc) Data engineering data-intensive application experience/working with large data fields Python Excellent problem-solving skills Why join them: Its an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where youll be supported to learn and develop your skills More ❯

for a Senior Backend Developer to join their award-winning InsurTech division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … and development. Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimising performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) Experience designing and implementing solutions in Azure (PaaS …/SaaS, Cosmos DB, Batch, Blob, Azure Functions etc) Data engineering data-intensive application experience/working with large data fields Python Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and More ❯

for a Senior Backend Developer to join their award-winning InsurTech division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you’d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … and development. Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimising performance of complex data workflows Championing best practice and guiding the junior team members What they’re specifically looking for: C# development experience (.Net 8) Experience designing and implementing solutions in Azure (PaaS …/SaaS, Cosmos DB, Batch, Blob, Azure Functions etc) Data engineering – data-intensive application experience/working with large data fields Python Excellent problem-solving skills Why join them: It’s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you’ll be supported to learn and More ❯

by the prospect of working in diverse teams with a broad range of skillsets? Do you want to be part of something radically new? We're looking for a Data Scientist/Engineer to: Be part of a small team that designs and implements analytical tools to bring enterprise statistical computing to sell-side equity research Contribute technically and … creatively to the development of a shared ecosystem enabling stock analysts and other stakeholders to build, use, and share reproducible, scalable, and collaborative data analysis workflows Help drive the development of LLM-powered tools and Agentic AI workflows to support hypothesis-driven empirical research Propose, design, maintain, and support core utilities upholding a 'live data analysis' paradigm, enabling … dynamic, real-time collaboration across diverse stock research and data analysis teams Build and maintain applications that make hypothesis-driven empirical research accessible and actionable for stock analysts Provide one-on-one coaching and run workshops to train and orient investment professionals on the use of Global Research's enterprise statistical computing platform (built on Python) for managing and More ❯

Backend Software Engineer to help design and develop backend systems supporting large-scale LLM and GenAI workloads. The role will focus on backend architecture, API integration, and automation across data and compute pipelines. What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well … tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. The challenges genuinely interesting from a data perspective. You will work closely with AI and Research teams to own the design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the … work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles Strong proficiency in Python and experience with relevant ML libraries/frameworks … pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding practices (Git, automated testing More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. … millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning … then wed love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support More ❯

DATA SCIENTIST SALARY UP TO £45,000 LONDON THE ORGANIZATION: I am recruiting for a renowned global media agency that collaborates with major international brands. As a Data Scientist, your role will be instrumental in various accounts, encompassing statistical analysis, econometrics, and generating valuable insights. THE POSITION: The responsibilities of the accomplished Data Scientist include: Engaging with … multiple new client accounts Developing and evaluating models Leveraging Geospatial Analytics to gain insights, enhance foresight, and provide targeted solutions Analyzing location-based data to decipher the success factors for businesses across different regions and countries Conducting MMM (Media Mix Modeling), analytics, budget allocation, and optimization exercises Confidently communicating insights to internal and external stakeholders YOUR SKILLS AND EXPERIENCE … The ideal Data Scientist possesses the following skills and experience: Relevant background in marketing or media analytics Familiarity with MMM (Media Mix Modeling) and incrementality testing Proficiency in R or Python programming Extensive Excel experience THE BENEFITS: The successful Data Scientist will receive a competitive salary of up to £45,000, accompanied by a comprehensive benefits package. HOW More ❯

ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our … make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop … Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems. We're talking More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture … world that can withstand the most aggressive and determined fraud attacks. Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate More ❯