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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - (Privacy & Security Controls) - **Company:** Our Future Health UK - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cyber Security, Continuous Integration, Data Security, Data Systems, Decision Support Systems, Identity and Access Management, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Tensorflow, DataOps, Electronic Medical Records, Containerization, Production Code, Data Analytics, Machine Learning Operations, Data Generation - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840590548-senior-data-scientist-privacy--security-controls ## About the Role * Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. * Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. * Strong Python skills and experience writing maintainable, production-quality code. * Experience working in cross-functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision-support tools. * A user-focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. * Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. * Exposure to privacy-preserving machine learning, privacy-enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing). * Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. * Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. * Good communication skills, with the ability to explain complex technical concepts to non-specialist stakeholders. * A pragmatic, delivery-focused mindset. It would be a bonus if you have any of the following experience: * Working with health data or biomedical research data, electronic health records, and ideally genomic data. * Developing models, algorithms or rule-based systems that support human decision-making, ideally where explainability, auditability and risk management are important. * Anomaly detection, behavioural analytics, security monitoring or detection engineering. * Risk quantification methods from fields such as actuarial science, epidemiology, operational research or cyber risk. * Familiarity with UK data protection, research governance or health data access expectations. * Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. * Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. * Experience evaluating synthetic data using both utility and privacy metrics. ## Description To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data-driven controls that protect participants while enabling cutting-edge research. This is a hands-on role where you'll apply strong data science skills and an engineering mindset to real operational problems: safe outputs review, re-identification risk, privacy risks in trained models, synthetic data and data-driven security controls. You will work closely with teams across Product, Security, Engineering, Science, Data Protection and Researcher Operations as well as external experts to develop practical, scalable and evidence-based solutions. You will be expected to work closely with users of these systems including researchers, Airlock reviewers, access governance reviewers and security specialists, to understand their workflows, pain points and risk decisions. A key part of the role will be turning complex privacy and security problems into trusted algorithms, evidence and automated support. What you'll do * Develop data-driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. * Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. * Contribute to our approach to de-identification and re-identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. * Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. * Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade-offs of different approaches. * Collaborate with our Information Security team on data-driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. * Build prototypes and production-quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. * Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. * Keep up with emerging methods in statistical disclosure control, privacy-enhancing technologies, AI security, synthetic data, de-identification and privacy-preserving computation. This role will be fully hybrid with the expectation that we get together in our Holborn, London office at least once per month., * Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. * 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. * Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. * Final stage competency interview (60 min) with a small cross-functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects., At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)