226 to 250 of 11,631 Permanent Computer Science Jobs

Take responsibility for any Agency assets assigned to you Promptly report any security events, incidents, or weaknesses to MassHousing’s Information Security Team Minimum Qualifications Bachelor’s degree in computer science, mathematics, statistics, business analytics, or related field 4+ years relevant work experience with increasing levels of responsibility Previous experience with agile project management concepts Previous experience with More ❯

learning Excellent leadership and team management skills Strong communication, interpersonal, and problem-solving abilities Strategic thinking and decision-making Adaptability to evolving technologies and processes Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises More ❯

and observability Expertise in Python, GitHub Actions, Apigee, Airflow Expertise in Observability tooling such as Prometheus/Grafana, ELK, Splunk or similar Bachelor's or Master's degree in Computer Science or related field This requires out-of-hours emergency support in the case of escalation. #STOXX # DIRECTOR What You Can Expect From Us At ISS STOXX More ❯

best practices, and emerging technologies to inspire innovation, drive growth, and elevate the collective expertise of the team. Any additional duties as assigned. Role Requirements Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). Significant development experience in the required language, including OOP. Experience working with multiple programming languages. Experience working with More ❯

by promoting inclusivity and empathy in collaboration and knowledge-sharing activities, ensuring every voice is heard and valued. What you'll need to be successful: Bachelor's degree in Computer Science, Engineering, or a related field. Extensive experience in a DevOps or infrastructure engineering role. Strong proficiency in Microsoft Azure cloud services and architecture. Experience with containerization technologies More ❯

are desirable Exposure to cutting-edge Machine Learning and AI technologies, with a passion for exploring their impact on gaming and software development Strong technical background in maths or computer science, educated to at least degree level or with equivalent experience Able to review, debug and enhance already produced code Ability to work constructively as part of a More ❯

production issues. Mentor teams, innovate and experiment, give face to business ideas and present to key stakeholders. What We're Looking For: Basic Required Qualifications: Bachelor's degree in computer science, Information Systems, Engineering, or related technical degree. A minimum of 5-8 years of experience in application development. Strong Java/.NET Core skills with experience in More ❯

by promoting inclusivity and empathy in collaboration and knowledge-sharing activities, ensuring every voice is heard and valued What you'll need to be successful: Bachelor's degree in Computer Science, Engineering, or a related field Extensive experience in a DevOps or infrastructure engineering role Strong proficiency in Microsoft Azure cloud services and architecture Experience with containerization technologies More ❯

is paying up to £95,000 + Benefits package. Company is based in London and has a hybrid working model. What we need from you: A BSc Degree in Computer Sciences is preferred. Highly mathematical minded with an interest, or related experience, in the FinTech space Strong communication skills both verbally and written Strong analytical thinking, problem-solving, appropriate More ❯

Join to apply for the Senior Data Science Manager role at myGwork - LGBTQ+ Business Community 3 days ago Be among the first 25 applicants Join to apply for the Senior Data Science Manager role at myGwork - LGBTQ+ Business Community This job is with Entain, an inclusive employer and a member of myGwork – the largest global platform for the … growth, we will transform our sector for our players, for ourselves and for the good of entertainment. Are you a strategic thinker with a deep technical background in data science, machine learning, and AI? Do you thrive on transforming complex data into actionable insights? At Entain , we're looking for a Senior Data Science & AI Manager to lead … our world-class team in delivering transformative, data-driven solutions across our global operations. About The Role As our Senior Data Science & AI Manager, you’ll lead a team of data scientists and AI experts to develop cutting-edge models, uncover critical business insights, and drive strategic decisions. Your work will power innovation across all stages of Entain’s More ❯

the world.We're one global team driven by our common purpose to deliver a better world. Join us.**Job Description**We are seeking a highly experienced and motivated **Data Science Lead** to join our consultancy team. As a Data Science Lead, you will be responsible for leading the development and implementation of advanced data science solutions for … our clients across various industries. You will be a key player in shaping strategic decisions, delivering actionable insights, and driving innovation in the data science domain. In this role, you will collaborate with cross-functional teams, including clients, business stakeholders, and technical experts, to deliver impactful data-driven solutions.This is an exciting opportunity for a seasoned **Data Scientist** who … enjoys solving complex business problems, mentoring teams, and working with diverse client environments.**Key Responsibilities:**+ Lead and manage end-to-end data science projects for clients, from problem scoping and model development to deployment and ongoing optimization.+ Collaborate closely with clients to understand their business needs and translate them into tailored data science solutions.+ Apply advanced statistical More ❯

Position Summary As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. … This is a hands-on role where you will develop and implement cutting-edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent data science and visualization skills, good communication skills, an exceptional sense of ownership and … a hybrid office schedule. Job Description JOB DESCRIPTION Position Summary As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science More ❯

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 ❯

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 ❯

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 Computer Science, 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 Computer Science, 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 Computer Science; 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 Computer Science; 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 Computer Science; 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 computer science, 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 Computer Science, 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 computer science, 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 Computer Science 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 Computer Science, 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 ❯

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 Computer Science, 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 Computer Science, 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 ❯

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 Computer Science, 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 computer science, 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 Computer Science, 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 computer science, 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 Computer Science, 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 computer science, 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 ❯