1 to 10 of 10 Data Science Jobs in Reading

has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or … Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects … other experienced technical professionals. What we offer Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide Opportunities for career growth and technical leadership Exposure to cutting edge applications of AI/ more »

has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or … Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects … other experienced technical professionals. What we offer Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide Opportunities for career growth and technical leadership Exposure to cutting edge applications of AI/ more »

recruit a Sales Operations Analyst to join their team. As an EMEA Field Sales Operations Analyst, you will leverage your expertise in BI and Data Science to analyse sales data, drive operational efficiency, and provide actionable insights to support strategic decision-making. The ideal candidate will have … thinking and challenging the status quo on a daily basis will help you be successful in this role. If you are enthusiastic about leveraging data to make an impact and thrive in a fast-paced environment, we want to hear from you! Join this team and play a key … be able to accrue up to 33 days of holiday per annum, pro rata, inclusive of bank holidays. What You Will Do: Analyse sales data using BI and Data Science tools to provide insights into sales performance Develop and maintain dashboards, reports, and visualisations for stakeholders Collaborate more »

understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and encourage growth. Backed by industry-leading anti-fraud … Our clients include many of leading brands, who trust us to collect reliable insights. Join our expert team in survey design, sampling methodologies, and data science. We bring to bear ground breaking technology to provide our clients with seamless access to real people and unparalleled insights. Job Summary In … this role, you will chip in to User Acquisition and User Engagement of our Panels using innovative data analytics and data science technology, evolving your skills and staying at the forefront of the data industry. We are seeking candidates with experience in a data-related more »

technology. Responsibilities: Collaborate with a senior researcher and other teams to integrate AI approaches into various research domains Take responsibility for the application of data science and AI/ML methods. Effectively communicate complex AI concepts and findings to stakeholders Conduct research on the technical and economic landscape … Attend conferences, workshops, seminars, and visit suppliers What you need to succeed: Degree in Computer Science, AI, Mathematics, or an equivalent discipline. Demonstrate experience in AI/ML research and development within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles … including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. more »

week Salary of £43k per year inside IR35 PAYE Your day-to-day You will use Power BI, Tableau and SQL to analyse sales data You will manipulate data to support sales forecasting You will develop dashboards to provide stakeholders with insights into sales performance What you need … to succeed 5+ years experience in a similar analytical role Proficiency in BI and Data Science tools such as Power BI, Tableau, and SQL (experience with Azure DBX preferred). Knowledge of programming languages such as Python is a bonus Your next step to apply Apply now with more »

How can we quickly deliver the robust legacy system interfaces needed by our Agile development teams? What do I need to do to integrate data science models into our production business processes and unlock the value of our data? These are the types of questions that you … AWS technology stack to underpin a great UX visualising the flightpaths of every plane in the world – as well as analysing huge quantities of data to improve fuel efficiency, reducing costs and environmental impact. Our architects have always been at the centre of our engagements, managing technical risk and more »

secure operation of AI and ML systems. Responsibilities: Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct … ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. Define and … enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. Provide technical guidance and support more »

secure operation of AI and ML systems. Responsibilities: Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct … adversarial test specification, development, and execution. Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to … security tools, technologies, and frameworks to enhance the overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. more »

Researcher will oversee the research and development of AI attack vectors and corresponding mitigation strategies for VE3. This role involves leading a team of data scientists and engineers, coordinating with stakeholders, and ensuring the delivery of high-quality outputs. Key Responsibilities: Lead the development of AI attack vectors, including … prompt injection, data poisoning, and adversarial fine-tuning. Collaborate with internal and external stakeholders to define project requirements and deliverables. Conduct literature reviews and stay updated on the latest advancements in AI safety. Develop and implement mitigation strategies to defend against identified attacks. Oversee the testing and validation of … AI models and safeguards. Prepare detailed reports and presentations on research findings. Mentor and guide junior researchers and data scientists. Qualifications: Ph.D. in Computer Science, Artificial Intelligence, or a related field. At least 10 years of experience in AI research and development. Proven track record of published research more »