901 to 925 of 1,833 Permanent Data Science Jobs

such as GPT-4, Transformers, Diffusion Models, DALL·E, Deep Reinforcement Learning (DRL), and other Large Language Models (LLMs), applying them to deliver measurable business value. In collaboration with data scientists, AI engineers, and business analysts, you will ensure solutions are not only technically robust but also aligned with the unique needs and constraints of financial services clients. The … direction and client strategy. Ensure all AI solutions adhere to legal, ethical, and compliance standards specific to the financial industry. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Extensive experience leading AI-driven projects in financial services (banking, capital markets, or insurance). Deep expertise in generative … financial services industry. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour More ❯

you'll be on the front lines, defining and delivering revolutionary, AI-powered products that solve the most critical security challenges. You'll work with world-class engineers and data scientists to turn groundbreaking ideas into market-defining solutions. This role is for a builder who thrives on fast-paced, high-impact work-someone who is just as comfortable … and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Multimodal AI : our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). The opportunity Pioneer the future of AI in cybersecurity. Drive the product strategy and roadmap for … products, including APIs and webhook solutions. An exceptional communicator and leader with excellent organizational, written, and oral skills who can inspire and lead cross-functional teams (including engineering and data science) and present to senior leadership. Analytical and action-oriented, you break down complex problems, use data to drive decisions, and are resilient, resourceful, and relentless in More ❯

40h/week), in which you will receive an attractive study grant. Internship Job Description: Product Discovery : Participate in the discovery process by asking insightful questions. Assist in identifying data analytics opportunities within the organization. Perform exploratory data analysis and visualize findings. Data Structuring : Help with data collation and transformation (data wrangling). Provide support … in creating datasets for analysis and machine learning. Learn and apply basic data mining techniques. Data Products: Support exploratory analyses and statistical evaluation of datasets. Assist in developing prototypes and code primarily in Python. Help with proof-of-concept initiatives and ad-hoc requests. Collaboration and Communication: Present findings to team members and stakeholders in a clear and … groups to share knowledge. Required skills As a successful candidate, you will be able to demonstrate the following skills and experience: Degree in the area of statistics, mathematics, computer science or an equivalent field of study. Basic understanding of data analysis and statistical concepts. Familiarity with Python (knowledge of libraries like pandas or matplotlib is a plus). More ❯

Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions. What We're Looking For : Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years … years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong software engineering fundamentals, including system design, data structures, algorithms, and software architecture. Experience leading complex technical projects and managing technical deliverables. Excellent communication skills with the ability to influence and explain complex concepts across organizational levels. Strong problem … organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn More ❯

Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions. What We're Looking For : Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years … years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong software engineering fundamentals, including system design, data structures, algorithms, and software architecture. Experience leading complex technical projects and managing technical deliverables. Excellent communication skills with the ability to influence and explain complex concepts across organizational levels. Strong problem … organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn More ❯

This role represents an exciting opportunity for a high-performing Data Engineer to help shape and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building, and … maintaining modern data infrastructure that powers insight-led decision-making across the business. Working within a small, supportive team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS … services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. Maintain clear documentation for data processes and pipelines. Partner with analysts, data scientists, and product teams to translate requirements into reliable technical solutions. Contribute to agile ceremonies, ensuring effective More ❯

the chance to apply for an accelerated rotational programme or a three month secondment with the operations team. 2026 Graduate Scheme Entry Requirements Academic Background: A BSc in Computer Science or a related discipline, ideally with a 2:1 or above. Technical Skills: Demonstrable experience in software engineering, with a working knowledge of C++, Java, Python or other programming … the ability to push the limits of what technology can do in the world of sports. Our Development Team Computer Vision Machine Learning Video Content Management and Streaming Cloud Data Platforms Web Technologies Computer Graphics Data Science Quality Assurance/Testing We build end to end solutions for sports technology, including real time tracking, data warehousing … low latency data streaming, and broadcast enhancements. From ball and player tracking in sports like tennis, cricket, and football to providing video replays and graphics in major events like the Masters golf tournament, our technology is at the forefront of global sports. Our flexible approach to software development, combined with our commitment to innovation, ensures that we remain leaders More ❯

the design, test and build of complex information across multiple decision engines to identify causal links between customer behaviour and business opportunities and performance Demonstrate an innovative approach to data-based problem solving, and have input into the development of a strategy that supports business strategy Collaborate in initiatives to support the accuracy, availability, granularity, and coverage of data, and those that implement new data management and manipulation tools. Communicate the findings of analysis in meetings with senior stakeholders and in visually compelling reports or presentations. Develop the targeting approach to accurately identify and understand customer needs by designing tests, delivery campaigns and reviewing performance to ensure campaigns are executed effectively Share complex ideas, issues, and recommendations … to gain agreement from different levels and backgrounds in presentation and written form. Your background. Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Proven experience in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of programming languages such as Python, R More ❯

the design, test and build of complex information across multiple decision engines to identify causal links between customer behaviour and business opportunities and performance Demonstrate an innovative approach to data-based problem solving, and have input into the development of a strategy that supports business strategy Collaborate in initiatives to support the accuracy, availability, granularity, and coverage of data, and those that implement new data management and manipulation tools. Communicate the findings of analysis in meetings with senior stakeholders and in visually compelling reports or presentations. Develop the targeting approach to accurately identify and understand customer needs by designing tests, delivery campaigns and reviewing performance to ensure campaigns are executed effectively Share complex ideas, issues, and recommendations … to gain agreement from different levels and backgrounds in presentation and written form. Your background. Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Proven experience in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of programming languages such as Python, R More ❯

Lead Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Lead Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to … updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. … How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

and storytelling skills, with the ability to align cross-functional stakeholders and inspire customers. Ability to balance strategic thinking with hands on execution. Preferred Qualifications Technical background (e.g., Computer Science, Engineering, Data Science). Experience with AI compliance, ethics, and responsible AI practices. Familiarity with information management, content services, or related enterprise software is a plus. Demonstrated … driving measurable business outcomes and user delight. Empowered to Succeed: At M Files, we believe in ownership and trust. You'll have autonomy to experiment, lead initiatives, and make data driven decisions that push the boundaries of what's possible. Culture That Cares: Guided by our principles, Make It Happen, Help Others, and Love Customers, we foster a supportive More ❯

the original engineering manufacturer of the seeker. The PAC-3 program is producing seekers everyday as well as developing a new design of the seeker. The seekers provide active data to the PAC-3 missile which enables it to acquire, intercept and destroy threats using hit-to-kill technology. The PAC-3 Seeker team is a cross functional, highly … U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry 5+ years More ❯

Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML … applying SOTA techniques in a real-world setting. Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For Strong academic background in Computer Science, ML, AI, or a related field. Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Proven background in MLOps, including model versioning, CI/… CD for ML, and production monitoring. Experience building robust backend systems and APIs to serve ML models at scale. Strong understanding of big data technologies and data orchestration tools (Airflow, DBT). Familiarity with LLM integration and optimisation in production environments. Excellent problem-solving, analytical, and communication skills. Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods). More ❯

Sonardyne, we value different ways of thinking. Whether you think in code, patterns, systems, or steps, your unique perspective is important to us. Are you passionate about turning complex data into actionable business insights? Do you thrive in a fast-paced, commercially driven environment? Were looking for a Commercial Analyst to join our team and play a key role … in driving data-informed decision-making that fuels strategic planning, sales performance, pricing strategy, and overall commercial growth. If you join us you will: As a Commercial Analyst, leverage your analytical expertise to provide actionable insights that directly impact business outcomes. Youll work closely with sales, finance, product, and operations teams to monitor KPIs, build forecasts, support pricing strategy … global and cross-functional teams to provide actionable commercial insights. Identify process improvements and leverage automation or AI tools to enhance efficiency. Present findings to senior leadership, translating complex data into clear, impactful recommendations. Ideally we would like you to have: 37 years of experience in data analytics, business intelligence, or commercial analysis. Strong proficiency in Excel and More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in … Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including … workshops, and technical events. Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies. Qualifications Basic Qualifications Ph.D. in Computer Science with >= 3 years industry experience after graduation. A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer More ❯

MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in … Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including … workshops, and technical events. Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies. Qualifications Basic Qualifications Ph.D. in Computer Science with >= 3 years industry experience after graduation. A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer More ❯

MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in … Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including … workshops, and technical events. Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies. Qualifications Basic Qualifications Ph.D. in Computer Science with >= 3 years industry experience after graduation. A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer More ❯

MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in … Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including … workshops, and technical events. Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies. Qualifications Basic Qualifications Ph.D. in Computer Science with >= 3 years industry experience after graduation. A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer More ❯

MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in … Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including … workshops, and technical events. Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies. Qualifications Basic Qualifications Ph.D. in Computer Science with >= 3 years industry experience after graduation. A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer More ❯