Global AI & Data Governance Analyst in Newcastle upon Tyne

Global AI & Data Governance Analyst in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 37800 - 46200 £ / year (est.) No working from home possible
Arup

At a Glance

  • Tasks: Collaborate with teams to establish strong data foundations and support governance.
  • Company: Join Arup, a leader in digital capability and innovation.
  • Benefits: Gain hands-on experience with governance tools and data environments.
  • Other info: Dynamic role with opportunities for growth in data management and AI.
  • Why this job: Kickstart your career in data governance and AI with real-world impact.
  • Qualifications: Interest in data governance and collaboration skills required.

The predicted salary is between 37800 - 46200 £ per year.

Arup's Data Services sits at the heart of our digital capability, enabling data governance and AI-enabled delivery across projects and corporate services. You will collaborate with data, digital and business teams to establish strong data foundations and support regulatory and ethical requirements.

The role offers hands-on governance experience, exposure to governance tools and data environments, and a path toward a future career in data governance, data management and AI-related roles.

Global AI & Data Governance Analyst in Newcastle upon Tyne employer: Arup

Arup is an exceptional employer, offering a dynamic and inclusive work culture in Leeds that fosters collaboration and innovation. Employees benefit from competitive pay, comprehensive benefits, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in security advisory services.

Arup

Contact Details:

Arup Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Global AI & Data Governance Analyst in Newcastle upon Tyne

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arup!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Global AI & Data Governance Analyst at Arup.

Leverage Professional Networks

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 Arup.

Apply Directly through Our Website

When you find a suitable opening like Global AI & Data Governance Analyst at Arup, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Global AI & Data Governance Analyst in Newcastle upon Tyne

Data Governance
AI-enabled Delivery
Collaboration Skills
Regulatory Compliance
Ethical Data Management
Governance Tools Proficiency
Data Environment Knowledge

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 Arup, 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 Arup. 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 Arup

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!

Showcase Your Projects

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 Arup!

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.