1,001 to 1,025 of 4,161 Data Science Jobs in London

expanding our Fixed Income Technology team and in particular growing our London Fixed Income Rapid Application Development (RAD) team. This is a specialist team of engineers, quantitative developers and data scientists offering tactical delivery capabilities to our Portfolio and Risk Managers. The team primarily develops solutions in Python but will partner closely with a variety of different Portfolio Management … with a wide variety of technologies. Responsibilities Work with portfolio management and risk teams to turn ideas into practical solutions, rapidly iterating from prototype to a production delivery Automate data retrieval and custom analytics, in various delivery formats, that combine internal and market data sources Design and build data visualizations and user interfaces to visualize data … Partner with Fixed Income Management team to capture requirements, monitor delivery, and manage expectations Maintain, support, and improve capabilities as new requirements arise Mandatory Requirements Advanced degree in computer science or any other scientific fields Experience with financial markets (rates/fx/credit) Experience with financial mathematics/modeling/statistics 3+ years of development experience with Python More ❯

Graduate AI and Machine Learning Engineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com Role overview: As a Graduate AI & Machine Learning Engineer, you … learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to … understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will More ❯

Graduate AI and Machine Learning Engineer The following information provides an overview of the skills, qualities, and qualifications needed for this role. About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data … learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to … understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will More ❯

the Communication Research & Strategy Division within the Communications Strategy Department. The role involves analyzing large datasets to provide insights on the company's reputation and brand globally, and developing data-driven strategies for reputation management. Key Responsibilities Oversee global reputation studies and qualitative research programs. Manage social listening and sentiment analysis across digital and traditional media platforms. Evaluate brand … of communications activities. Manage the central repository of reputation and brand data. Handle contracting and invoicing with agencies. Conduct statistical analyses on datasets for driver analysis. Design surveys and data sourcing strategies ensuring statistical relevance and cost efficiency. Qualifications Master’s degree in Computer Science, Data Science, or related field. Minimum 15 years of experience in … data science or analytics. Strong communication and presentation skills. Extensive experience in research, data analysis, visualization, machine learning, and statistical modeling. Proficiency with tools like SPSS, Power BI, Tableau, Pulsar, and audience intelligence software. Proficiency in Python, R, and SQL. Work Environment We offer challenging projects, competitive remuneration, and extensive talent development programs to support career growth More ❯

Millennium . We are expanding our Fixed Income Technology team, specifically growing our London Fixed Income Rapid Application Development (RAD) team. This specialist team of engineers, quantitative developers, and data scientists offers tactical delivery capabilities to our Portfolio and Risk Managers. The team primarily develops solutions in Python and collaborates closely with various Portfolio Management teams, interacting with a … wide range of technologies. Responsibilities Work with portfolio management and risk teams to turn ideas into practical solutions, rapidly iterating from prototype to production. Automate data retrieval and custom analytics, in various delivery formats, combining internal and market data sources. Design and build data visualizations and user interfaces to visualize data trends and facilitate custom workflows. … with the Fixed Income Management team to capture requirements, monitor delivery, and manage expectations. Maintain, support, and improve capabilities as new requirements arise. Mandatory Requirements Advanced degree in computer science or related scientific fields. Experience with financial markets (rates, FX, credit). Knowledge of financial mathematics, modeling, and statistics. At least 3 years of development experience with Python (e.g. More ❯

we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. We are currently looking for an exceptional product manager to oversee the development of our data & AI platform. You will work with computer vision, data science & governance teams, to understand their needs and convert them into features. Working with our engineering teams, you … will ensure that our data & AI platform is performant and scalable to meet the growing demand for data products within Medtronic. Successful delivery of our data and AI platform capabilities will ultimately accelerate intelligent solutions that empower surgeons and improve outcomes for patients. A Day in the Life Responsibilities includes: • Develop and communicate a clear product vision … and strategy for the data platform • Understand and incorporate data ethics and information governance policies into product solutions • Define and prioritise product features and enhancements based on user feedback, business priorities • Serve as the primary point of contact for internal stakeholders regarding the data platform • Gather feedback from internal customers and work with engineering to convert that More ❯

partner with customers to identify, scope, and financialize problems that can be resolved at an enterprise level by adopting ML Applications. AI Solution Managers then lead cross-functional teams (Data Scientists, Data Engineers, App Developers, and Architects) to develop or configure AI/ML Solutions. AI Solution Managers build impactful solutions with a high level of internal and … Fortune 500 customers to identify, scope, and financialize use cases for the C3 AI offering. Articulate the AI-driven resolution approach and lead high-performing C3 AI teams (including data scientists, solutions engineers, application engineers, and product managers) to create or configure production-ready AI/ML applications. Work as a trusted partner with C3 AI Sales to convert … an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects. Specific requirements are: Bachelor of Science in Engineering, Economics, Statistics, Computer Science, or a similar field, and Master of Science or MBA degrees. 4+ years of work experience, including 2+ in management consulting More ❯

GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong More ❯

support you! We are looking for a Machine Learning Engineers at Senior to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working … closely with colleagues in the Data Science team as well as stakeholders across the business. What's the job? Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well written documentation that meets our needs Identify work and dependencies, tracking progress through a … set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas with colleagues and accept suggestions Ability to work on multiple data science projects and manage deliverables What you'll bring Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms More ❯

will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks. Preferred Location London or Dubai preferred Principal Responsibilities Partner closely with the Portfolio Manager to develop data engineering and prediction tools primarily for the … equities Develop software engineering solutions for quantitative research and trading Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team Build and maintain robust data pipelines and databases that ingest and transform large amounts of data Develop processes that validate the integrity of the data Implementation and operation of systems to enable … and the trading group in a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in More ❯

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques. Key Responsibilities: Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and … vulnerabilities. Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents. AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times. Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives. Reporting: Generate comprehensive reports and visualizations to communicate … findings to technical and non-technical audiences. Required Qualifications: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field. Technical Skills: Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Familiarity with cybersecurity concepts and tools. Analytical Skills: Strong More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing the More ❯

for transparency and reproducibility. Publish 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 a strong focus on machine … Python, or another language; command 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 achieve results in a fast-paced environment. Exceptional level of organization and strong attention to More ❯

H&P Executive Search Client - Hedge Fund Location - London The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis. Responsibilities: Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition). Design and implement interactive … with the Quant Technology team to build and enhance option pricing and volatility models. Skills: Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics. Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities … house. Strong programming skills , particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst, Other, and More ❯

Specialist role at John Goddard Associates Get AI-powered advice on this job and more exclusive features. GenAI Specialist London Are you a GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform … credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments. Key Details Start Date: ASAP Duration … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements For a GenAI Specialist Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems. Proficiency in Python, SQL, Spark, PySpark, TensorFlow. Strong knowledge of More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

5c811c8c523b Job Views: 10 Posted: 22.06.2025 Expiry Date: 06.08.2025 Job Description: About the Role As one of the world's leading digital transformation service providers, we are expanding our Data Practice across Europe to meet increasing client demand. We seek a Gen AI Solution Architect specializing in agentic workflows to join our consultancy team at EPAM. The candidate will … trends in AI and cloud technologies, integrating new findings. Work with clients to define requirements, present solutions, and gather feedback. Ensure compliance with industry standards for AI deployment and data handling. Requirements 10+ years in technology roles with a focus on AI and cloud tech. Proven expertise in agentic workflows and autonomous systems. Strong proficiency in Python and cloud … platforms (AWS, Azure, Google Cloud). Deep understanding of data science, machine learning algorithms, and statistics. Excellent communication and leadership skills. Experience leading large-scale transformation projects. Proactive, curious, and adaptable to evolving AI landscape. Bachelor's degree in computer science, AI, Data Science, or related field. Nice to Have Certifications in AI or ML. More ❯

your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from McGregor Boyall Principal Consultant @ McGregor Boyall | AI/ML, Data Science GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology … team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong More ❯

Quantitative Developer - Risk Technology Millennium is a top tier global hedge fund with a strong commitment to technology and data science. We are looking for a Quantitative Developer to join our Risk Technology team in London. The developer will use Python, AWS and data manipulation libraries to provide risk managers with data-driven insights on our fund … Work closely with quants, risk managers and other technologists in New York, Tel Aviv and Singapore to develop risk analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most … impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university. Passion for working in finance, and broad understanding of financial instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years More ❯

quantitative models for performance & risk analysis, and participate in the implementation of add-hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis etc.). Principal Responsibilities Build data analysis models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk decomposition) Design and implementation of risk and scenario GUI …/visualization tools (dashboards). Development of option pricing & volatility models in partnership with the Quant Technology team Handling of large data sets, use of machine learning techniques to enhance traditional risk measures. The role with collaborate with risk managers across asset classes as well as various technology and data teams within the firm, capturing requirements, and monitoring … delivery. Regular interaction with portfolio managers across Europe and Asia. Qualifications/Skills Required Masters or PhD level training in quantitative field, e.g. Engineering, Computer science, Mathematics or Physics Min 3 yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, or Commodities house. Strong coding skills required: Python, proficiency in data More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Subscription Analytics Manager , you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators … KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into … the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, and retention More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work … closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems … effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly More ❯

Location Solutions Consultant - Market Planning Group 27 February 2024 CACI's Location Intelligence Group provides data, software, and consulting services to help our clients make better location-based decisions. We help clients make profitable decisions through our understanding of people and place, spatial characteristics, and consumer behaviour. Our clients include retailers, restaurant chains, leisure operators, care homes, charities, automotive … s leading Location Intelligence team, we deliver advanced spatial analysis and insights to major organisations across various sectors and countries. We provide consultancy, cutting-edge software, and the latest data to optimise location strategies across physical and digital landscapes. Projects typically last from a week to six months, covering performance analysis, customer insights, network strategies, BI & visualization, and advanced … be doing Joining the Solution Consulting team, you will be part of a dynamic and innovative group designing solutions to address strategic questions. You will scope the right analysis, data, and software based on client needs, working across various sectors and markets, both UK and international, always focusing on people and place. Our commercial team identifies opportunities and collaborates More ❯