1,201 to 1,225 of 3,392 Data Science Jobs

we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients, including some of the world's most successful hedge funds, banks, and asset managers, to enhance returns, reduce risk, and … GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. We're now preparing to launch a next-generation platform aimed … drive sales of RavenPack's industry-leading GenAI and SaaS services. In this role, you'll play a pivotal part in democratizing access to real-time, high-quality financial data through our comprehensive suite of offerings, including our latest GenAI platform, Reporting directly to the Head of US Sales, you will work closely with our Client Support, Data More ❯

Business Unit: Group Risk, Model Risk & Analytics Career Direction : Utilising our Data Role Focus: Risk and Financial Modelling Peer Group : Management & Senior Specialists (B) Salary range: £60,000 - £75,000 per annum Location: UK, Hybrid, with team meetups in one of our hubs (Glasgow/Gosforth) x2 per year Contract type : Permanent Live to inspire change. Live a life … comprehensive test plans across the model lifecycle, including test objectives, scope and success criteria Verifying the quality, consistency and relevance of input datasets by creating appropriate testing pipelines (e.g. data and model drift) using conventional and novel tools relating to data testing Evaluating model performance under stress scenarios and testing model scalability in production-like environments Designing effective … integration testing that ensures seamless data flow and compatibility with overall system architectures Project leading and supporting a team of expert model validators covering an array of model types and performing highly quantitative process verification activities as part of validations Documenting and presenting validation findings to technical forums and governance committees, while producing summary reports and relevant Management Information More ❯

expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritize simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. It's an exciting time to join our consulting team … a digital-first approach, strengthening our global presence, and building strong client relationships. The Consulting Digital Team (CDT) serves as the digital hub of our consulting operations, transforming complex data into actionable business intelligence. This specialized unit applies digital skills across all six of our consulting solutions: Deal Services, Business Transformation, Risk and Governance, Finance Function Support, Restructuring, and … Forensic & Investigation Services. The team provides comprehensive analytical support including advanced data analytics, data visualization, analytics automation, and artificial intelligence. Working closely with consulting teams, they translate business challenges into analytical-driven solutions. The CDT members possess a diverse skillset spanning data science, business analysis, data analytics, and programming, enabling them to tackle complex problems More ❯

Solution Architect will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. This role requires a deep understanding of AI technologies, machine learning, and data science, as well as the ability to collaborate with clients and internal teams to deliver impactful solutions. Your future duties and responsibilities: • Design and architect AI solutions based … diagrams, technical specifications, and implementation plans. • Lead the implementation of AI projects, ensuring they are delivered on time and within budget. • Provide technical leadership and guidance to development and data science teams. • Ensure AI solutions are scalable, secure, and maintainable. • Conduct regular reviews of existing AI solutions to identify areas for improvement. • Stay up-to-date with the … practices. Required qualifications to be successful in this role: • Proven experience as an Architect working on commercial Artificial Intelligence projects • Strong understanding of AI technologies, machine learning algorithms, and data science principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch More ❯

a dynamic and innovative environment. Opportunity to work on impact projects with a focus on customer engagement. Mentorship and guidance from experienced professionals. Exposure to the Human Health Digital, Data & Analytics organisation. Role Functions: Assist in the deployment of the regional customer engagement tool into the UK market. Collaborate with stakeholders within and above the market to ensure alignment. … Provide analytical support on customer engagement topics, including face-to-face interactions, email metrics, and website analytics. Contribute to the development of strategies and recommendations based on data analysis. Work closely with the UK Data & Analytics team and the broader CER D&A team. Experience, Knowledge, Skills & Qualifications: Recent graduate with a degree in STEM, Data Science, or a related field. Strong analytical and problem-solving skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python). Excellent presentation skills Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Interest in customer engagement and market research. If you are a recent graduate with a passion for data More ❯

across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering … team (currently ~10), nurturing a culture of ownership, speed, and technical excellence. Make key architectural decisions, ensuring system scalability and data infrastructure performance. Maintain high engineering standards while remaining close to critical technical choices. Recruit top talent and build a strong, inclusive team culture. Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations. Sit on the leadership … act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical foundation More ❯

across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering … team (currently ~10), nurturing a culture of ownership, speed, and technical excellence. Make key architectural decisions, ensuring system scalability and data infrastructure performance. Maintain high engineering standards while remaining close to critical technical choices. Recruit top talent and build a strong, inclusive team culture. Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations. Sit on the leadership … act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical foundation More ❯

Chief Technology Officer (CTO) to lead the build of a proprietary prop trading platform from the ground up. The company is developing an AI-powered system that merges advanced data science, algorithmic trading, and intuitive interfaces to drive next-generation financial strategies. The Role As CTO, you'll define and execute the technology roadmap, architect the entire platform … secure, scalable, and intelligent trading system from scratch. Key Responsibilities Lead the end-to-end architecture and development of a greenfield trading platform Oversee integration of real-time market data, broker APIs, and strategy deployment via a custom DSL Build interactive trading interfaces (React/TypeScript) Drive DevOps, CI/CD, cloud infrastructure (Azure preferred), and cybersecurity Hire, mentor … and audit readiness What We're Looking For 10+ years in tech leadership, with 5+ in fintech, trading tech, or AI startups Proven experience building and scaling real-time, data-intensive systems from scratch Proficiency in C# for high-performance, low-latency trading systems Strong backend (Python, Node.js, Rust) and frontend (React, Next.js) expertise Deep experience with cloud platforms More ❯

highly motivated and experienced Product Manager to join our Digital Member Engagement and Experience team, reporting to the Senior Manager. The ideal candidate will have a strong background in data analysis, machine learning, artificial intelligence, and predictive analytics. This role requires a strategic thinker who can drive product development from ideation to launch, ensuring alignment with business goals and … messaging, email, in-app content and chatbot interactions Experience with segmentation models, next best action frameworks, and tailoring messages by risk level or program eligibility Ability to partner with data science, analytics and engineering to define data requirements and APIs for personalization engines Work with AI-driven recommendation models and feedback loops Develop and manage a comprehensive … to our team's goals and advance cost of health care initiatives Ensure all digital engagement initiatives comply with healthcare regulations and privacy standards, maintaining the highest levels of data integrity and security Report regularly to senior management and stakeholders on the progress, impact, and strategic adjustments of digital personalization initiatives Mentor and guide team members, fostering a culture More ❯

Come join us at the heart of trust! We're looking for a curious and analytical Fraud Detection Analyst to join our global Fraud & Investigations team. You'll analyse data, spot patterns, and write detection rules that help stop fraud in its tracks - playing a vital role in protecting consumers, businesses, and the integrity of our platform. You'll … work on complex, often ambiguous challenges in the ever-evolving world of online trust. If you love solving problems, diving into data, and making a real difference - this is your chance. You'll be joining a collaborative, inquisitive team that values transparency, fairness, and a good sense of humour. As part of the wider Trust & Transparency team, we're … across our platform. Carry out ad-hoc investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer cases. Partner with our data science experts to propel our technological and procedural approaches to the forefront of identifying fraudulent activity. Work closely with our engineering teams to enhance internal tools and databases 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. What they are looking for... Model lifecycle: You’ve got hands-on experience with managing the ML … and other machine learning algorithms and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn . DevOps: You have experience working with DevOps tooling, such as Kubernetes, Terraform, CI/CD tools and Docker. Cloud … You have worked with cloud-based environments before (they use AWS). SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake. Version control: You are proficient with git. If you are interested in finding out more, please apply or contact me directly! jordanf@burnssheehan.co.uk Senior Machine Learning & MLOps Engineer 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. What they are looking for... Model lifecycle: You’ve got hands-on experience with managing the ML … and other machine learning algorithms and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn . DevOps: You have experience working with DevOps tooling, such as Kubernetes, Terraform, CI/CD tools and Docker. Cloud … You have worked with cloud-based environments before (they use AWS). SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake. Version control: You are proficient with git. If you are interested in finding out more, please apply or contact me directly! jordanf@burnssheehan.co.uk Senior Machine Learning & MLOps Engineer More ❯

of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business objectives with stakeholders at different levels. … Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities: Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an … and implementing transformational changes to their exposure and risk management workflows. We want to take your exposure and catastrophe risk management expertise and build on it, incorporating the latest science, technologies, and analytics. With this expanded knowledge, you can apply it across many insurance customer situations for potentially huge transformation opportunities. Workflow Migration and Transformation: Leverage the capabilities of More ❯

invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six … years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one … models, and tools that enable KoBold's talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms More ❯

implementing research in software, facilitating analysis in intuitive, readable and reproducible ways; publishing and amplifying the impact of research through interactive technical showcases and visualisations; and scaling and optimising data science and AI research to leverage HPC and GPU infrastructure. Main Duties and Responsibilities 1. Provide leadership of software engineering services managed and delivered by Research Computing as … plans, including policies and procedures, for the delivery of RCaaS research software engineering services. 3. Apply and direct the use of state-of-the-art novel software engineering (including data science and artificial intelligence) techniques to address challenges faced by University of Glasgow researchers. 4. Collaborate closely with academic colleagues to develop and maintain high quality, well-tested … cost recovery. 8. Support research colleagues to access and make the most of University of Glasgow's research computing infrastructure services including provisions for high-performance computing and research data management services. 9. Make a significant expert contribution to major funding bids, internal business cases and related activities where research software engineering is a core dimension. 10. Provide technical More ❯

Are you an experienced Quant Developer or Analyst with expertise in derivatives pricing, risk management, and data science? Do you enjoy innovative thinking and building tools? We are seeking a candidate who can collaborate closely with traders and sales teams, utilizing various technologies to deliver fast, market-ready applications. Responsibilities include: Developing high-quality trading and sales tools … review requirements. Qualifications and Skills: Over 4 years of professional experience; exceptional candidates with less experience may be considered. Bachelor's degree from a recognized university; degrees in Computer Science, Engineering, or Mathematics are preferred. Excellent team player with a strategic outlook and rapid application development skills. Strong technical skills in at least one core programming language (Java or … C#) and one scripting language (Python, JavaScript, ReactJS + TypeScript). Solid understanding of data structures and algorithms. Knowledge of web development, Equity Derivatives, Kafka, Kubernetes, Docker, SQL, KDB, Excel/VBA, and Unix programming is a plus. Good understanding of testing methodologies; familiarity with TDD/BDD is advantageous. LI-GB About UBS: UBS is the world's More ❯

8+ years of relevant professional experience with Bachelor's, 6+ with Master's and 3+ with a PhD Education: Bachelor's or Master's degree in Systems Engineering, Computer Science, Information Systems, or related field Security: Current/active TS/SCI clearance with CI polygraph or willingness to take one. Background investigation required, including a minimum of a … deliveries Minimum Requirements: • Must have a current/active TS/SCI and be willing and able to pass a CI polygraph • Bachelor's degree in Systems Engineering, Computer Science, Information Systems, or related field (4 years of additional experience may be substituted for a degree) • 7+ years of experience in systems engineering, including system architecture, integration, and deployment … maps to custom software. Pelagic AI was founded by industry visionaries, each boasting decades of experience in the AI landscape. Our roots trace back to the early days of data mining, and our journey has encompassed pioneering work in modeling and simulation, algorithmic development, data science, machine learning, and generative AI. With a collective wealth of knowledge More ❯

find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state- of- the-art parallel processing and …/driving roadmap strategy and definition - Experience with end to end product delivery - Experience as a product manager or owner - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field PREFERRED QUALIFICATIONS - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders More ❯

do what's best for Bloomberg You'll need to have 5+ years of experience in technical product management Experience working with developer teams 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 ❯

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 ❯

our clients faster than ever. Our connected propositions stretch across a range of specialisms too. From human-centred design, technology transformation, cyber and risk management through to security operations, data and analytics, product engineering, automation, powered apps and Cloud. The way we collaborate gives us an edge. It's about bringing people, technology and insights together to deliver the … client sites. The breadth and depth of work is huge. It's work that helps communities and businesses to thrive and grow. You might find yourself looking at how data science can support health delivery in the UK. Or your work might revolve around helping clients to manage threats and risk. Or advising clients on digital transformation. The … and knowledge to handle complexity and make use of cutting-edge technology, the world of Cyber Security at KPMG will provide you with enormous professional opportunity. Harnessing and exploiting data is a non-negotiable tenant of any company's competitive strategy. In practice, managing the data ecosystem from creation to valuable insight is complex, with many companies struggling More ❯

benefits. Experience: 15+ years of relevant professional experience with Bachelor's, 8+ with Master's and 5+ with a PhD Education: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related discipline Security: Current/active TS/SCI clearance with CI polygraph or willingness to take one. Background investigation required, including a minimum of … and be willing and able to pass a CI polygraph • Willingness to take a hands-on role in backend system integration, deployment, and maintenance • Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline (4 years of additional experience may be substituted for a degree) • 15+ years of relevant experience in software development, ranging from work in … maps to custom software. Pelagic AI was founded by industry visionaries, each boasting decades of experience in the AI landscape. Our roots trace back to the early days of data mining, and our journey has encompassed pioneering work in modeling and simulation, algorithmic development, data science, machine learning, and generative AI. With a collective wealth of knowledge More ❯

customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some … of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to … design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing More ❯

This is a fantastic opportunity for a Senior Cloud Engineer with this specialist consulting firm. They are one of the longest-established players in strategic data science centred on leading-edge AI, supplying to major corporates and academics across the world. Due to significant sustained growth over the past few years, they are looking to grow their technical … the company. The role Own the cloud architecture of production solutions across AWS and Azure Design, build and manage infrastructure-as-code Develop CI/CD pipelines to support data engineering and ML/AI model delivery Influence security, cost-efficiency, scalability and standards Lead cloud architecture decisions in project scoping and architecture reviews Contribute to internal capability building … in DevOps, cloud strategy, and tooling Deployment of the latest data and AI tools, including LLMs and agentic AI The Requirements Several years practical experience as a Cloud, DevOps, or Infrastructure Engineer Deep hands-on experience with AWS and Azure services Infrastructure-as-code tooling (e.g. Terraform) CI/CD pipelines and deployment automation (e.g. Azure DevOps) Containerisation and More ❯