951 to 975 of 2,164 Data Science Jobs

organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues … Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands ...

looking for a curious, driven individual with a background in Computer Science or Computing to join us as our Applied AI Apprentice. This is a rare opportunity to work directly with the leadership team on real-world AI projects that shape how we operate and deliver value … recruitment workflows across the group Experimenting with large language models (LLMs), APIs, and emerging AI platforms to solve real business challenges Developing internal dashboards, data pipelines, and reporting tools to support commercial decision-making Researching and evaluating new AI technologies, tools, and vendors relevant to talent acquisition and professional ...

scientific and technical advances are integrated safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible … reliably in operational production. The team plays an important role as operational forecasting moves towards a more diverse mix of physics‐based and data‐driven systems, new computing environments and more complex data flows. These developments require disciplined workflow design, reliable orchestration, clear release processes and close coordination ...

Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands … experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred ...

Bermuda Monetary Authority is seeking a Data Engineer/BI Developer within the Data Science and Artificial Intelligence Department to design, build and implement scalable data platforms and BI solutions. The role emphasizes data management, analytics, and enabling self-service insights for regulatory decisions. Applicants … should hold a master’s degree in computer science and have 7+ years of relevant experience, including senior-level work in financial services or regulation, plus skills in #J-18808-Ljbffr ...

looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. You will work with the Audiobooks Analytics Lead to help shape our global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors. In this role, you will … data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber growth, and new product and commercial initiatives. You will turn complex questions into clear recommendations and help senior leaders ...

shaping the future of fintech – and we’re just getting started. About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems. Key Responsibilities Lead projects and architecture design for multi-objective optimisation and scalable models. Create custom loss functions ...

Full-Stack Engineer (Senior Specialist) to join our Finance Hub team. This role is located in Manchester. Role Overview: The role focuses on strong data analysis skills, logical thinking, problem solving, and system design to develop scalable solutions/AI-enabled capabilities across data platforms and applications. … from gathering requirements, design , build & implement. In this role, youll make an impact in the following ways: Define source-to-target mapping, lineage, and data quality rules Oversee ETL design in Oracle; ensure control points (reconciliations, validations) Partner with Axiom team for model point alignment and submission readiness Drive ...

standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies … 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 quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience ...

standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies … 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 quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience ...

owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Group is seeking a Principal Data Engineer to own the technical architecture of its GCP data platform, including BigQuery and Kafka-based ingestion, across London. You will lead delivery of complex, high-risk work in the GCP consolidation programme and define platform contracts and self-service patterns … empower divisions with trusted Core Lake data. You will mentor engineers, raise data quality standards, and collaborate with Compliance, Finance, and Data Science to deliver scalable, #J-18808-Ljbffr ...

Infrastructure/Systems/Solution Architecture work involves developing the core technical platform, capabilities, and services that support PN Commercial business processes and data including: Mapping the relationships between IT platform/infrastructure components (i.e., Technology End Users, IT Systems Software & Hardware, and Info-Communications Transmission Networks) Identifying … described as below in more details: Own and maintain detailed solution design (HLD/LLD) for each sprint/release increment, including data flows, integration sequencing, and non-functional requirements (performance, scalability, security) baked in at design time Own the technical implementation pattern (RAG pipeline design, prompt/agent ...

targets in our cell lines and to optimise media formulations. We’re looking for a skilled individual to apply the latest bioinformatics and biological data science methods, partnering with our Cell Sciences Team and the wider organisation to develop the next generation of stable cell lines with real … world impact. About the Role As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member ...

Sedona Digital Ltd is seeking a Lead Data Scientist to lead enterprise‐scale AI, ML and analytics solutions. The role combines technical leadership, solution architecture, and hands‐on data science to transform business challenges into measurable outcomes through data and AI. You will set best practices … across the Data & AI lifecycle, architect modern data for AI platforms, design governance and metadata frameworks, and guide multidisciplinary teams delivering scalable analytical and AI #J-18808-Ljbffr ...

Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision … products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language ...

Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision‐making. … products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language ...

organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute … operating manual for how we behave. Role Overview Join Barclays as a Python Platform Engineer and create an interactive analytics environment that enables quants, data scientists, and engineers to create, share, and run code at scale. Our multidisciplinary team are delivering notebook experiences with Jupyter & VSCode, distributed compute with ...

large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically … with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding ...

models to tackle real‐world problems, particularly in automating complex, manual processes in a range of real‐world verticals. Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across … with high‐quality engineering practices. You Might Thrive In This Role If You: Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Have experience building GenAI‐focused applications with the latest technologies, including but not limited ...

research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience … with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability ...

risk, and resiliency to keep critical analytics platforms healthy and compliant while enabling teams to deliver change safely. This role offers breadth across cloud, data, and software engineering, plus the opportunity to lead through influence and strong execution. You'll help reduce toil through automation and create space … engineers and data scientists to do their best work. Join a team that values inclusion, growth, and pragmatic problem-solving. As a Lead Software Engineer, Application Owner and Release Manager in the Wholesale Credit Risk Technology Analytics team , you will own day-to-day governance, risk posture, and operational ...

standards, reference architectures, and platform components. To be successful in this role, we're seeking the following: Bachelor's or Master's in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred). Significant experience delivering AI/ML in enterprise environments with proven ownership ...

building something, rather than maintaining it, this is an unusually good time to join.**Your Team**You’ll be joining a small, close-knit Data platform engineering team of three to five engineers. We’re a team that takes quality seriously, looks out for each other, and gets things … done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. ...

Product Line Overview (Flight Data Intelligence): Acron Aviation’s Flight Data Intelligence (FDI) organization provides advanced flight data analytics, safety insights, and operational intelligence solutions to aircraft operators worldwide. Through a combination of aviation expertise, data science, and cloud-based technology, FDI helps customers improve … safety, compliance, operational efficiency, and fleet performance. Our teams work closely with airlines, operators, OEMs, and regulators to transform aviation data into actionable intelligence that supports safer skies and better operational outcomes. Job Title Cloud/Infrastructure Engineer – AWS & Terraform Position Summary We are seeking a Cloud/Infrastructure ...