specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain. The role As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science … the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality … emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. · Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development More ❯
Cambourne, Cambridgeshire, United Kingdom Hybrid / WFH Options
Remotestar
coordinate cross-project initiatives and activities. Demonstrates an understanding of users' needs and effectively participates in the development and implementation of business solutions. Required Qualifications: Master's degree in ComputerScience, Engineering, Physics, Data Science, Operations Research, or related field. Alternatively, a Bachelor of Science plus Master in Business Administration is acceptable. 8+ years of hands … on experience in software engineering, DevOps, data science, IT and/or other relevant engineering domains 5+ years of successful Project Management experience in leading and managing devops/platform teams in a technology-driven company Expert understanding and knowledge of DevOps & SRE practices and Agile methodologies. Solid experience deploying SaaS solutions in multi-cloud (AWS, Azure, and/… cross-functional teams effectively. Solid organizational and time-management skills, coupled with a keen eye for detail. Exceptional communication with a perfect command of English. Preferred Qualifications: PhD in ComputerScience, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering More ❯
and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or ComputerScience; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas More ❯
City of London, London, United Kingdom Hybrid / WFH Options
BrandDelta
and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or ComputerScience; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas More ❯
and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or ComputerScience; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data … some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas More ❯
turning that data into compelling empirical analysis is fundamental to what we do. With increasing amounts of data being generated, there are exciting opportunities to apply tools from data science, machine learning, and data engineering to the interesting policy and competition questions that arise in our work. The team aims to (a) advance our thought leadership in the industry … Scientist, you will play a pivotal role in shaping our data strategy and collaborating on innovative projects. You will: Work on client-facing projects, designing and implementing complex data science solutions, from concept to productions to solve real-world competition and regulatory challenges faced by businesses. Each project is different - one week, you might solve a data engineering challenge … analytics to competition and finance cases. Mentor junior team members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data. Master’s degree in computerscience, applied mathematics, statistics, machine learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into More ❯
proof of concept, experimentation, and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in programming languages like Python, Java, C/C++, with intermediate Python proficiency. Experience applying data science and ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs). Hands-on experience with machine learning and … independently on tasks and projects through to completion. Strong attention to detail, excellent communication skills, and a team-oriented mindset. Preferred qualifications, capabilities, and skills Master's degree in computerscience, ML, or related areas. Experience with Ray, MLFlow, and/or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced More ❯
at the same time you embody ownership at the business level and contribute to product development. Basic qualifications: 3+ years of systems development experience; A Bachelor's degree in ComputerScience or equivalent combination of technical education and work experience Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Experience with at least … software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Master's degree in ComputerScience, Computer Engineering, Electrical Engineering, or equivalent. Strong sense of ownership, including an ability to promote operational excellence. Experience with AWS platforms, services, and design patterns. Meets More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification (MS and/… or PhD) in ComputerScience, Machine Learning, or a related field, with applied machine learning concepts experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master’s degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
teams to deliver tailored solutions. Integrate Generative AI within the ML Platform using state-of-the-art techniques. Required Qualifications, Capabilities, and Skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in programming languages such as Python, Java, C/C++, etc. Intermediate Python skills are … essential. Experience applying data science and ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Models (LLMs). Hands-on experience with machine learning and deep learning methods. Deep understanding of deep learning frameworks such as PyTorch or TensorFlow. Experience with advanced ML areas like GPU optimization, fine-tuning, embedding models, inferencing, prompt … work independently on tasks and projects through to completion. Attention to detail, excellent communication skills, and a team-oriented mindset. Additional Qualifications, Capabilities, and Skills Master's degree in ComputerScience, ML, or related areas. Experience with Ray, MLFlow, or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep More ❯
at the same time you embody ownership at the business level and contribute to product development. Basic qualifications: 3+ years of systems development experience; A Bachelor’s degree in ComputerScience or equivalent combination of technical education and work experience Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Experience with at least … software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Master’s degree in ComputerScience, Computer Engineering, Electrical Engineering, or equivalent. Strong sense of ownership, including an ability to promote operational excellence. Experience with AWS platforms, services, and design patterns. Meets More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master's degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master's degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master's degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification (MS and/… or PhD) in ComputerScience, Machine Learning, or a related field, with applied machine learning concepts experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master's degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core … and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing. Required Qualifications: 7+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline. Bachelor’s or Master’s degree in ComputerScience, Engineering, Mathematics, Physics, or a related field. Strong programming skills in Python. Experience with machine … Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity with Linux/Unix command line tools. Preferred Qualifications: PhD degree in ComputerScience, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. More ❯
SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core … and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing. Required Qualifications: 7+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline. Bachelor’s or Master’s degree in ComputerScience, Engineering, Mathematics, Physics, or a related field. Strong programming skills in Python. Experience with machine … Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity with Linux/Unix command line tools. Preferred Qualifications: PhD degree in ComputerScience, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. More ❯
s extensive data sources. This includes co-defining labelling processes according to the developed KG and coordinate with domain experts that will perform the labelling. Select and fine-tune computer vision models leveraging the developed datasets to identify and classify elements. This includes being able to leverage existing models/architectures, or develop new architectures, depending on the use … and Experience: The Machine Learning and R&D Engineer (KTP Associate) will hold a relevant degree. The candidate should have a good first degree and post-graduate degree in ComputerScience or Data Science, or a related discipline, excellent programming skills, good communication skills and experience of successfully working as part of a team. We expect the … post holder to have the following requirements: Essential: Minimum of 2.1 and ideally a Master's degree in ComputerScience, Data Science, or a related field (e.g., artificial intelligence), or equivalent industry experience. Ability to perform literature review, understanding scientific papers, drawing insights and ideas for implementation. Having previous publications is a plus. Experience in designing, developing More ❯
of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required Qualifications, Capabilities, And Skills MS and/or PhD in ComputerScience, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience … and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Preferred Qualifications, Capabilities, And Skills Master’s degree in computerscience, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and More ❯
architects in multiple geographical areas. Experience in the Financial Services industry is added advantage. Understanding Financial and Reporting Hierarchies will be beneficial. Education : Bachelor’s or equivalent degree in ComputerScience Experience : Minimum 10 + years of relevant experience developing applications/solutions preferably in the financial services industry. Required Skills: Minimum 10 + years of application development … architects in multiple geographical areas. Experience in the Financial Services industry is added advantage. Understanding Financial and Reporting Hierarchies will be beneficial. Education : Bachelor’s or equivalent degree in ComputerScience Experience : Minimum 10 + years of relevant experience developing applications/solutions preferably in the financial services industry. Required Skills: Minimum 10 + years of application development More ❯
in AWS. This AI-First Finance builders team will lead AI Application Architecture, designs for predicting outcomes, forecasting values with high degree of automation and ML Ops for existing science pipelines and frameworks. Key job responsibilities As an software engineer on the team, you will own components of an integrated system. You will design and develop these components using … of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of computerscience fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years … of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computerscience or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯
sessions. Whenever the opportunity arises, you will gather customer feedback to inform and lead the creation of new IP to guide FICO’s product and business development roadmap." - Analytic Science, Hiring Manager What You'll Do You will elevate how we engage with internal and external business on topics related to AI/Gen AI. You will be accountable … and social medial messaging. You will create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals. What We're Seeking MSc degree in computerscience, engineering, physics, statistics, mathematics, operations research or natural science fields with hands-on related experience in data science, including AI/Gen AI and machine … Recruiter - Systematic Trading Technology & Machine Learning Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office) Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 3 days ago London, England, United Kingdom 4 days ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML More ❯
application resilience and “silent running”. Required Qualifications, Capabilities, and Skills Formal training or certification in Python concepts with proficient advanced experience. Strong analytical development skills, solid understanding of computerscience fundamentals, and experience in real-time, resilient, high-performance, risk, and pricing or eTrading areas. Experience developing in Python. Experience in writing tests, object modeling, and refactoring. … and implementations. Proven organizational skills, decisive priority management, strong teamwork ethic, and excellent verbal and written communication skills. Preferred Qualifications, Capabilities, and Skills Likely qualified to degree level in ComputerScience, Maths, or related engineering discipline. Strong technology generalist with experience building highly performant and resilient enterprise applications used within high-performance/realtime environments. Experience working within More ❯
solutions Assist clients and other team members with production issues in a timely fashion, these could be data or process related. Experience, Education and Qualifications: Degree in Finance, Business, ComputerScience, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics or equivalent experience gained Understanding of the implementation process including requirement analysis, design, configuration/development … engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills (primarily Excel, Word, PowerPoint, and Visio); familiarity with use of Outlook, Teams, and SharePoint as collaboration tools. About Us: Harbor is the preeminent provider of expert services across More ❯
and diverse assignments in collaborative settings across all levels. Basic Qualifications for DevOps Software Engineer or Principal DevOps Software Engineer: • DevOps Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 2 years of related experience or a Master's degree in a STEM discipline and 0 years of … experience. • Principal DevOps Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master's degree in a STEM discipline and 3 years experience, or a PhD and 1 years of experience. Top Skills' Details 1. 2 years of experience with CI … Git • Understanding of networking concepts and security best practices • Experience developing software in object-oriented programming languages such as C, C++, or Java Preferred Qualifications: • Bachelor's Degree in ComputerScience, Software Engineering or related field • Experience in software development, including analysis, design, code, test and integration • Strong, written, verbal and interpersonal communication skills to collaborate effectively with More ❯
