8 of 8 Data Privacy Jobs in East Yorkshire

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

Company Description PastWipe is building a new category of patented privacy infrastructure that makes stolen data economically and operationally useless. Our technology enforces cryptographic control over identities and records, delivering provable post-breach data neutralisation and audit-ready compliance at scale. We work with banks, enterprises … meeting for meetings" culture People who want to earn, build, and eventually own Self-starters are comfortable operating remotely and independently Experience in cybersecurity, data privacy, SaaS, or regulated markets is a strong advantage What This Is Not Not an advisory role Not a consulting position ...

willingness to help outside of your main job to make sure customers have a great experience. Curiosity and an attitude of a quick data-oriented learner who thrives in a dynamic, collaborative environment Effective time management and organisation skills to balance customer engagement, deal closing, and CRM administration Nice … customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application. ...

fast-paced environment A willingness to contribute outside of core responsibilities to provide an optimal customer experience Curiosity and an attitude of a quick data-oriented learner who thrives in a dynamic, collaborative environment Effective time management and organisation skills to balance customer engagement, deal closing, and CRM administration … customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application. ...

The Risk & Compliance Manager will oversee compliance processes and mitigate risks within the organisation, ensuring adherence to regulatory and industry standards. This role sits with a growing, innovative technology solutions provider. The team works between ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...