51 to 75 of 102 Data Privacy Jobs in the South East

number of Workday modules such as global HCM, Absence, Performance, Compensation, Payroll and Time. You will support the maintenance of Workday, including integrations, mass data uploads (EIBs), security, and reporting. The role is a blend of BAU HRIS work and involvement in strategic projects to improve Workday usage and … and maintain complex Workday reports including matrix and composite reports whilst providing support for existing custom reports and conducting regular report reviews, ensuring all data meets security and data privacy standards. 1. Workday System Maintenance and Support: Incident Management: Monitor and manage the Workday support queue … prioritising and resolving Tier 1 & 2 incidents and requests (e.g. security assignments, data corrections). Troubleshoot, analyse, and resolve system issues, escalating complex problems to Global Solutions Managers or outsourced technical teams as needed. Ensure the operational effectiveness of Workday through proactive system reviews and analysis. Release Management & Testing More ❯

of the firm’s CRM system across their global offices. You’ll play a key part in supporting marketing and BD initiatives by ensuring data quality, managing technical updates, onboarding new users, and training staff to get the most out of the system. This is a fantastic opportunity for … thrives in a collaborative and fast-paced environment. Key Responsibilities Maintain, configure and improve the CRM (InterAction) system to support firmwide initiatives Oversee CRM data change requests and manage data quality across all offices Coordinate with IT teams and developers on integrations, migrations and troubleshooting Manage onboarding of … new hires, teams and office openings within the CRM Support compliance with data protection policies and retention strategies Liaise with external vendors and maximise the use of CRM add-ons Deliver CRM training to new starters and marketing staff globally Plan and run workshops and create supporting materials (e.g. More ❯

to the future of medicine, we want to hear from you. Role Overview: As a Bioinformatician, you'll work at the intersection of biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. … Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies and treatments. Key Responsibilities: Analyze and interpret genomic, transcriptomic, proteomic, and clinical data to support drug discovery projects. Develop and optimize bioinformatics tools and … pipelines for high-throughput data analysis. Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and More ❯

matters, workplace requirements, training programs, and employment disputes. Partner with other members of the Legal department to address legal compliance issues, including advice regarding data privacy, anti-bribery, and other regulations applicable to Tanium's operations. Manage outside law firms across Tanium's European footprint. Assist with … the communities they live in and give back to the causes they care about most. For more information on how Tanium processes your personal data, please see our Privacy Policy . More ❯

across Mars' enterprise platforms, while driving AI adoption across the organization. What are we looking for? Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. … SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing … leadership and mentorship to AI and engineering teams. Identify and mitigate AI risks (e.g., model drift, data bias) and continuously refine AI models and solutions through performance monitoring and feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday More ❯

across Mars' enterprise platforms, while driving AI adoption across the organization. What are we looking for? Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. … SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing … leadership and mentorship to AI and engineering teams. Identify and mitigate AI risks (e.g., model drift, data bias) and continuously refine AI models and solutions through performance monitoring and feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday More ❯

company's strategic objectives. This is your opportunity to shape business outcomes, collaborate with diverse teams, and influence the evolution of our Technology and Data Strategy. In this role you'll contribute to delivering individual audits, and the associated reports, in order to provide assurance to the Audit Committee … a team and with wider members of Centrica or other subject experts. This will be a mixture of delivering pure technology audits e.g. cyber, data management, software delivery and working collaboratively with other internal audit functions inputting into the technology elements of wider Group and Business Unit audits. This … during the audit delivery lifecycle Manage the activity of others on specific audit assignments Contribute to the delivery and evolution of the Technology and Data Strategy and methodology Take a lead role on specific technology audit assignments, delivering to schedule and to the required quality standards on all assignments More ❯

company's strategic objectives. This is your opportunity to shape business outcomes, collaborate with diverse teams, and influence the evolution of our Technology and Data Strategy. In this role you'll contribute to delivering individual audits, and the associated reports, in order to provide assurance to the Audit Committee … a team and with wider members of Centrica or other subject experts. This will be a mixture of delivering pure technology audits e.g. cyber, data management, software delivery and working collaboratively with other internal audit functions inputting into the technology elements of wider Group and Business Unit audits. This … during the audit delivery lifecycle Manage the activity of others on specific audit assignments Contribute to the delivery and evolution of the Technology and Data Strategy and methodology Take a lead role on specific technology audit assignments, delivering to schedule and to the required quality standards on all assignments More ❯

an ability to work with a diverse and global team Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely … creative solutions to overcome them Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring More ❯

powered applications in production environments. Experience with agentic platform architectures and frameworks in production systems. Strong understanding of architecture, cloud infrastructure (e.g., AWS, Azure), data privacy, and security best practices. Excellent communication and leadership skills with the ability to influence cross-functional stakeholders. Bonus Qualifications: Experience working … the vision to create an effective solution for any business problem and the experience to execute that vision. Learn more at www.morae.com. Our privacy policy can be found here https://www.morae.com/privacy-policy More ❯

ongoing optimisation and support. You’ll join a collaborative, cross-functional team and take the lead on building Python-based AI solutions and modern data-driven applications. Key Responsibilities: Design, build, and maintain scalable Python applications. Modernise and enhance legacy systems using AI/ML approaches. Develop APIs and … data pipelines for both batch and real-time processing. Build, train, and deploy AI models with a focus on performance, accuracy, and scalability. Engineer AI-powered tools and services, including intelligent agents. Work closely with data engineers, analysts, and product teams to align technology with business needs. Contribute … to architectural planning, code reviews, and ongoing improvements to engineering practices. Ensure alignment with cybersecurity, data privacy, and governance standards. Technical Skills: 5+ years of experience in software engineering, including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working More ❯

real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug … target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet scientific goals. Continuously monitor … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. More ❯

Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or data science, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance … to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and …/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure More ❯

Manager. WHAT YOU’LL DO: Strategy & Planning Collaborate with the Infrastructure and Security Manager and wider IT department (including the Restaurant Technology, Digital Technology, Data and Support teams) to assess near- and long-term network capacity needs. Review and input to strategic direction and supplier plans relating to the … protocols, and Internet standards and a good understanding of vendors’ roadmaps. Excellent hardware troubleshooting experience. Competence with testing tools and procedures for voice and data circuits. Knowledge of applicable data privacy practices and laws. Experience in working for a global organisation Good experience of implementing global More ❯

advertising permanent vacancies, we act as an Employment Agency; for temporary/contract vacancies, we act as an Employment Business. We take your personal data seriously. To learn how we handle your data, visit our website where you can find our Data Privacy Notice. Keywords More ❯

stock orders, backorders, and pallet shipments • Raise supplier GRMs and handle inbound/outbound logistics • Process purchase orders and invoice approvals • Maintain accurate CRM data (Hubspot preferred) • Manage calls, email enquiries, and distribute new leads • Raise and track RMA tickets to ensure timely resolution • Provide daily admin support to … advertising permanent vacancies, we act as an Employment Agency; for temporary/contract vacancies, we act as an Employment Business. We take your personal data seriously. To learn how we handle your data, please visit our website where you can find our Data Privacy Notice. More ❯

mitigate legal risk while supporting innovation and business expansion. Key Responsibilities Advise senior stakeholders on legal issues across corporate governance, regulatory compliance, contractual matters, data protection, and intellectual property. Draft, negotiate and execute a range of commercial agreements with clients, including SaaS agreements, software licensing, and partnership contracts. Ensure … regulatory compliance across UK and international jurisdictions, including financial services and data protection regulations (e.g. GDPR). Oversee intellectual property matters such as trademarks, patents, and software licensing. Develop internal legal policies and processes, and deliver training on data privacy, contract management and intellectual property rights. … at least 8 years' post-qualification experience . Background in fintech, financial services, or technology sectors . In depth knowledge of UK financial regulations, data protection laws and international legal standards relevant to the fintech industry. Confident analytical, negotiating and communication skills and able to advise at all levels. More ❯

a contract basis. This position will focus on ensuring compliance with security standards and regulations within the Energy sector, with a key emphasis on data security, auditing, and risk management. Key Responsibilities: Ensure patching compliance and perform user access reviews . Audit CNI processes and procedures , reporting security breaches. … Collaborate with vendors on data security measures. Monitor compliance with data privacy and security regulations . Develop and implement security policies and procedures . Lead internal audits and guide the creation of compliance policies. Participate in risk assessments and provide employee security training . Key Skills More ❯

with expert presentation and communication skills. Strong business and commercial acumen with a proactive approach to enterprise architecture. Experience with security compliance and ensuring data integrity, with knowledge of data privacy regulations. Ability to engage and collaborate with senior stakeholders and internal teams while balancing customer More ❯

Check our Careers Site at Siemens Healthineers - Oxford () As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not More ❯

to detail. Able to prioritize and execute tasks in a high-pressure environment. Experience working in a team-oriented, collaborative environment. Knowledge of applicable data privacy practices and laws. Qualifications: Typically educated to bachelor degree level in a related subject (e.g. Computer Science, Software Engineering). Benefits More ❯

ambitious and forward-thinking startup, revolutionising the world of compliance. At GDPRLocal, we are at the forefront of providing cutting-edge solutions to meet data protection, AI and infosec regulations. Our platform covers not just GDPR, but most global data privacy frameworks, the AI compliance act … play a critical role in shaping the future of the company, delivering business objectives, and ensuring our solutions stay ahead of regulatory trends in data protection and compliance. This is your chance to lead a company that is changing the landscape of compliance services. Key Responsibilities: Strategy Execution: Drive … met efficiently while keeping an unwavering focus on growth and innovation in compliance services. Compliance Leadership: O versee the company’s approach to GDPR, data protection laws, AI compliance, and other regulatory frameworks. Ensure that our solutions are aligned with the latest regulations and provide strategic insights into compliance More ❯

not available. Role and Responsibilities The core focus area of our team is threefold: Develop AI-powered predictive healthcare solutions, integrating real-world health data from wearables, IoT devices and medical records to enhance early disease detection and personalized health monitoring. Work on AI-powered accessibility solutions that improve … homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare applications. Contribute to the research on AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility … solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge of More ❯

loyalty world and able to bring to the table new innovations that drive value, experience of ML/AI preferable customer first in approach, data driven, with a desire to raise the bar, go the extra mile and create the best program in the industry Commercially strong with good … the customer experienced in leading a team and working collaboratively across a business to drive results compliance awareness with sound knowledge of gdpr and data privacy best practices wok's in it for you a competitive annual salary discretionary 20% bonus opportunity per year hybrid working model More ❯

pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not More ❯