At a Glance
- Tasks: Support privacy programs and coordinate data protection efforts across various teams.
- Company: Join Graphcore, a leading tech company in Bristol with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on career development and teamwork.
- Why this job: Make a real difference in data privacy while collaborating with diverse teams.
- Qualifications: Strong understanding of data protection regulations and excellent communication skills.
The predicted salary is between 29700 - 36300 £ per year.
Graphcore in Bristol is seeking a Data Protection Coordinator to support its privacy program. You will work with the Data Protection Lead across engineering, operations, IT and facilities, helping teams understand obligations, manage risk and respond confidently.
You will coordinate data subject requests, maintain governance records, assist risk assessments, supplier reviews and incident investigations, and help prepare metrics, audit evidence and privacy awareness.
Data Privacy & Governance Coordinator employer: Cerebras
Graphcore is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, flexible working arrangements, and generous leave policies, alongside opportunities for professional growth in cutting-edge AI technology. With a focus on employee well-being, including private medical insurance, Graphcore stands out as a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Privacy & Governance Coordinator
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cerebras.
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We think you need these skills to ace Data Privacy & Governance Coordinator
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cerebras, 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 Cerebras. 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 Cerebras
✨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
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✨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.
