7 of 7 Data Privacy Jobs in Cambridgeshire

Data Governance Manager Who are Diligenta? Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients' operations. A business that has been … described as ‘home’ by existing employees, we drive a culture that is founded on positive change and development. Summary of the role: The Data Office is a newly formed function within Diligenta that has been created specifically to oversee data use, governance and control within the organisation ...

Data Engineer Who are Diligenta? Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients' operations. A business that has been described … home’ by existing employees, we drive a culture that is founded on positive change and development. Summary of the role: As a Data Engineer you will be responsible for designing, developing and delivering solutions to Load, optimise and transform Data within our environment and the relevant infrastructure ...

partners, serving as a key point of contact throughout the engagement lifecycle Maintain project artefacts including risk logs, decision registers, and project plans Support data governance activities including data privacy compliance Skills & Experience Proven project management experience in a technology or financial services environment Experience managing … management skills across senior and technical audiences Highly organised with strong attention to detail and the ability to manage competing priorities Desirable: Understanding of data governance principles and technical concepts including AI, synthetic data, and agentic systems Ability to compile, structure and quality-assure technical documents such ...

technology partners, managing and nurturing these relationships throughout the engagement lifecycle. Maintain project artefacts including risk logs, decision registers, and project plans. Support data governance activities, ensuring compliance with data privacy standards. Required Skills & Qualifications: Proven project management experience in technology, innovation, or financial services environments. … engaging with both senior and technical audiences. Highly organised with strong attention to detail and the ability to manage competing priorities. Desirable: Understanding of data governance principles and technical concepts such as AI, synthetic data, and agentic systems. Desirable: Ability to compile, structure, and quality-assure technical documents ...

hands-on experience developing both technical and professional skills. Role Key Responsibilities: Assist in developing, testing, and maintaining AI and machine learning models Support data collection, cleaning, labelling, and basic analysis Help implement AI solutions using Python and common ML libraries Participate in model evaluation, performance monitoring, and documentation … Collaborate with cross-functional teams on AI-driven projects Learn and apply best practices in data privacy, ethics, and responsible AI Continuously build skills through training, mentoring, and self-study What You’ll Learn: Identify opportunities for automation to drive operational improvement and cost savings. Advocate ...

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 ...