1,226 to 1,250 of 3,404 Data Science Jobs

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 ❯

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 ❯

these into projects where relevant Key Experience & Skills Strong background in enterprise GIS delivery across a range of geospatial systems and datasets Familiarity with cloud-hosted environments and spatial data management (e.g., PostGIS, GeoJSON, WMS/WFS) Hands-on experience with GIS platforms and toolsets, both open source and proprietary Scripting experience (e.g., Python) to automate spatial data handling or analysis Experience working in Agile, multidisciplinary teams, delivering complex digital services Desirable (But Not Essential) Experience with EO data, geospatial data science or AI/ML Knowledge of DevOps principles (Terraform, CI/CD pipelines, Docker, etc.) Familiarity with GOV.UK Digital Service Standards or public sector digital frameworks Understanding of data privacy and … secure handling of sensitive spatial data (e.g., PII) Who We're Looking For You might currently be a GIS Consultant or Senior Analyst ready to take the next step, or a mid-level professional with significant hands-on experience in enterprise GIS delivery looking for more influence and ownership in projects. Our client values collaboration, curiosity, and initiative — someone 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 ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

being simulated. Leads validation, verification, and refinement of simulation software code, models, simulations, test procedures and test environments, executing test procedures, documenting test results and modeling against real-world data, test data, benchmarks, or other similar models Leads the documentation and maintenance of technical code, algorithms, specifications and descriptions of simulation models Partners with cross functional engineering teams … with programming C/C++ Experience with software development in an agile environment Secret Clearance and Special Program Access, Post-Start Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 5 or more More ❯

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

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

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

of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for. Bachelor's degree in Computer Science, Software Engineering, Mathematics, Applied Mathematics, Machine Learning, Data Science, Computer Information Systems, Engineering, or related studies may be considered. High School/GED or Associate's degree … considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Dental insurance with 100% employer More ❯

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

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

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

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

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

to inform decision-makers and counter potential threats. Key Responsibilities • Analyze commercial supply chains as complex networks to identify nodes, links, and relationships across sectors, geographies, and jurisdictions. • Develop data-driven models that highlight interdependencies, critical suppliers, single points of failure, and trends with strategic implications for national security. • Leverage commercial databases, financial and trade records, public records, and … reshoring, and disruptive technologies that could impact supply chains at a strategic level. Required Qualifications • Active TS/SCI Clearance • Bachelor's degree in Business, Economics, Supply Chain Management, Data Science, Engineering, or related field • 5+ years of experience in commercial network/supply chain analysis, intelligence analysis, financial crimes, or economic security • Experience using advanced research tools … Dataminr) to evaluate commercial networks and relationships • Strong knowledge of venture capital, private equity, and other financing models that underpin commercial ecosystems • Familiarity with geospatial, link-analysis, and big-data tools (e.g. Palantir, Analyst's Notebook) • Ability to synthesize and present findings clearly in written and visual formats for senior leaders Desired Skills • Experience in threat finance, illicit trade More ❯

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