DSAR Administrator

Euston
10 months ago
Applications closed

DSAR ADMINISTRATOR

The post holder will be responsible for processing data subject requests including Data Subject Access Requests (DSARs) made to various of the UK group of companies whilst maintaining a high degree of confidentiality, trust and credibility.

They should be an experienced and enthusiastic individual who has the right values and behaviours to ensure we provide the best possible service for the business and who can work with other teams, including engineering and legal to respond to data subject requests including DSARs in accordance with ICO guidelines.

They will support the Legal Team and liaise with the DPO to work on systems and processes to ensure effective information governance within the UK group of companies. They will be instrumental in maintaining high standards of data quality practice wide, identifying and resolving any issues.

The post holder will have stakeholder engagement. This role involves a high amount of autonomy.

You will have excellent computer skills and understanding of GDPR requests including DSARs.

Location: Euston, London

Job Type: Temporary

Duration of booking: Expected to last 3 months with possible extension

Proposed start date: ASAP

Pay Rates: Up to £21 per hour Umbrella or £18 per hour PAYE inclusive of holiday pay

Hours / Working Days: 37.5 hours per week / Monday to Friday, 9am – 5pm

Sector: Healthcare

Based: Office / Hospital

WHAT YOU WILL WORK ON

  • Data Subject Requests

  • Responding to data subject rights requests and queries and supporting the full life cycle of the requests. Ensure all requests are completed within agreed timeframes.

  • Ensure appropriate redactions / exemptions are applied as outlined in the Data Protection Act

  • Provide timely updates to the team relating to escalated incidents and data subject rights issues.

  • Manage and maintain the organisations Data subject requests log recorded through systems like One Trust

  • Produce reports and information summaries on completed DSARs

  • Other Data Protection work

  • Support the DPO in conducting Data Protection Impact Assessments and working closely with internal and external stakeholders in order to ensure risk assessments are thorough and accurately capture associated privacy risks.

  • Becoming familiar with data protection and information security policies, advising when these fall due for review and updating the website and other systems.

  • Populating and maintaining privacy risk registers and reporting on incident trends.

  • Generally assisting with administrative and other tasks on behalf of the team and other tasks as may be defined by the DPO to meet the operational needs of the UK group of companies.

  • Support DPO when they liaise with 3rd parties like the ICO (where required)

  • Keep up to date with changes in data protection law and regulations

  • Other work

  • Support and enable equality, diversity and rights.

  • Undertake any other duties which may reasonably be required, commensurate with the role, bearing in mind the developing needs and demands of the organisation

    WHAT WE’RE LOOKING FOR:

  • 1-2 years of experience in Privacy, Data Protection, or Information Security-related background

  • Strong knowledge of GDPR and Data Protection Act

  • Experience working with One Trust particularly the Privacy Rights Automation module is preferred

  • Excellent organisational skills and the ability to manage, prioritise, work under pressure and meet tight deadlines

  • Strong verbal and written communications skills, in particular, being able to effectively communicate clearly and concisely

  • Ability to work independently and take ownership of assignments, sometimes acting as the single point of contact for projects

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.