1,101 to 1,125 of 1,982 Permanent Data Science Jobs

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

/verification System test requirements analysis and development interface design Develop electrical wiring required to adapt to test articles & sub-assemblies Support of lab or flight test instrumentation and data acquisition Selection of electrical hardware (cables, connectors, shielding, terminal blocks, etc.) Installation support and collaboration with lab test personnel Support of problem resolution associated with fielded hardware and software … simulation to develop system definitions/architectures and perform trade studies (includes integration with interfacing engineering disciplines model-based design toolsets) Basic Qualifications (Required 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 3+ years familiarity More ❯

/verification System test requirements analysis and development interface design Develop electrical wiring required to adapt to test articles & sub-assemblies Support of lab or flight test instrumentation and data acquisition Selection of electrical hardware (cables, connectors, shielding, terminal blocks, etc.) Installation support and collaboration with lab test personnel Support of problem resolution associated with fielded hardware and software … simulation to develop system definitions/architectures and perform trade studies (includes integration with interfacing engineering disciplines model-based design toolsets) Basic Qualifications (Required 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 3+ years familiarity More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and 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 a business is managing cash flow or seizing unexpected … opportunities, we ensure they get the funds they need - often within minutes. The team The Finance Technology team builds and maintains the payment infrastructure and financial data systems that power iwoca's growth. We partner with Finance to build scalable tools and support other product teams to launch new products with the right payment and data foundations. The … hybrid, based in London. The role As a Staff Back End Engineer in the Finance Technology team, you'll lead the technical design and development of iwoca's financial data systems, starting with a new credit card ledger - a critical component for product expansion. You'll work with stakeholders across Finance to shape architecture, ensure accuracy and scalability, and More ❯

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a … pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. Responsibilities The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within … to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of More ❯

The Business Analyst role bridges business stakeholders, data science, enterprise architecture, and compliance to translate business objectives into well-defined Gen AI use cases, requirements, processes, and measurable outcomes. This position is responsible for gathering, analyzing, and translating business requirements into actionable insights and technical specifications for the AI team. The ideal candidate will possess a strong understanding … of P&C insurance operations and demonstrate the ability to collaborate across departments to optimize business processes and support data-driven decision-making. Key Responsibilities: Use case discovery and prioritization Elicit and document business needs across underwriting, claims, operations, distribution, risk engineering, and finance for GenAI applications (e.g., document intelligence, triage, fraud detection, submission intake, pricing support, claims leakage … prioritization with product owners and stakeholders, balancing impact, complexity, and compliance considerations. Requirements and design Produce clear business requirements, user stories, acceptance criteria, process maps (current/future state), data requirements, and non-functional requirements (performance, resiliency, privacy Develop functional specifications and product requirements documents in alignment with enterprise architecture and security standards. Delivery, testing, and release Manage backlogs More ❯

concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business needs Basic Qualifications (Required 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 1+ years of More ❯

Job Title: AI Engineer Job Location: Houston, TX Duration: 6+ Months We are currently seeking an experienced AI Engineer to join the Big Data Services department on a contract basis. As part of the Data Science team, the AI Engineer will work closely with the Data Engineering team and business functions to solve real-world oil … of token optimization and cost management Experience with multimodal AI applications Experience building solutions with AI agents Experience building AI solutions on AWS Education: Bachelor's degree in Computer Science or related field Relevant certifications in AI/LLM development More ❯

competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact As a Data Scientist, you will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries. You'll grow as … participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML. Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting … improvements across industries. You will be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide, working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare More ❯

related quantitative discipline, and three (3) years of experience in job offered or in any occupation in related field. Special Skill Requirements: (1) Deep Learning; (2) Machine Learning; (3) Data Science; (4) Probability and statistics; (5) PyTorch; (6) Algorithms; (7) Experiment Design; (8) Data Visualization; (9) Recommendation Systems; (10) Python; and (11) Data Analysis. Any suitable More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯