1,201 to 1,225 of 3,359 Data Science Jobs

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 ❯

Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of … data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in touch to discuss your application further. Please note that due to the volume of applications we receive, it is not possible to provide feedback on all applications so if you have not heard from 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 ❯

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 ❯

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 ❯

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 ❯