At a Glance
- Tasks: Join our team to ensure data protection and privacy compliance for diverse clients.
- Company: PA Consulting, a leader in innovative consulting with a focus on technology and strategy.
- Benefits: Enjoy competitive salary, health perks, 25 days leave, and flexible working options.
- Other info: Join a supportive community that values growth, learning, and diversity.
- Why this job: Make a real impact in data privacy while collaborating with experts across various sectors.
- Qualifications: Experience in data protection laws and strong analytical skills are essential.
The predicted salary is between 36000 - 60000 £ per year.
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
Why consider joining our Digital & Data community? Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
- Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.
- Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
- Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same.
- Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring.
- Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications.
What You Can Expect:
- Work to agile best practices and cross-functionally with multiple teams and stakeholders.
- You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects.
- Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
- An environment that deeply cares about its values.
Qualifications:
- You must be an established consulting professional with experience in delivering projects focused on data protection and privacy laws in the private sector.
- Proven experience with relevant data protection and privacy laws and regulations (e.g. CCPA, EU GDPR, Privacy Shield) and industry standards and frameworks, such as GAPP and BCR.
- Possession of relevant qualifications such as CIPM, CIPT, CIPP/E, CISM, CISSP, and/or HCISSP, as well as involvement in industry related organisations (e.g. IAPP, ISACA, (ISC)²) are desirable.
- Experience in Consent Management and/or in Pharma/MedTech sector is preferred.
- The ability to efficiently understand client organisations and their business model and to tailor relevant processes to privacy requirements.
- To communicate effectively with different stakeholders (e.g. business, legal, IT, security) about data protection and privacy matters.
- An analytical mindset, with a focus on producing quality work in a results-oriented environment.
Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK.
Life At PA encompasses our peoples' experience at PA. It’s about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We Are Dedicated To Supporting The Physical, Emotional, Social And Financial Well-being Of Our People. Check Out Some Of Our Extensive Benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity-based initiatives.
- Annual performance-based bonus.
- PA share ownership.
- Tax efficient benefits (cycle to work, give as you earn).
We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.
Data Privacy Specialist in London employer: Consultancy
At PA Consulting, we foster a dynamic and inclusive work culture that prioritises innovation and personal growth. As a Data Privacy Specialist in London, you'll benefit from hybrid working arrangements, extensive training budgets for professional development, and the opportunity to collaborate with a diverse team of experts on impactful projects across various sectors. Our commitment to employee well-being is reflected in our comprehensive benefits package, including private healthcare, generous leave policies, and a supportive environment that values your unique contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Privacy Specialist in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Privacy Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Consultancy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Consultancy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Consultancy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Consultancy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
