Flexible Remote Responsible AI Specialist

Flexible Remote Responsible AI Specialist

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
EDF UK

At a Glance

  • Tasks: Define frameworks and guidance for safe, ethical AI deployment across the organisation.
  • Company: Join EDF (UK), a leader in responsible AI and automation.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Enjoy UK-wide travel and be part of a dynamic team.
  • Why this job: Make a real impact on ethical AI practices while influencing key stakeholders.
  • Qualifications: Experience in AI ethics, risk management, and stakeholder engagement.

The predicted salary is between 45000 - 55000 £ per year.

EDF (UK) is seeking a Responsible AI Specialist to define frameworks, controls and guidance enabling safe, ethical AI deployment across the organisation.

Join our AI and Automation Centre of Excellence to help manage risk, translate policy into concrete controls for delivery teams, and influence stakeholders across Legal, Risk, Security and Procurement.

Flexible location, UK-wide travel.

#J-18808-Ljbffr

Flexible Remote Responsible AI Specialist employer: EDF UK

At EDF Power Solutions, we are not just shaping the future of renewable energy; we are committed to fostering a dynamic and inclusive work environment that empowers our employees. As a Senior Electrical Engineer, you will enjoy competitive compensation, flexible working arrangements across our London, Edinburgh, or Durham offices, and the opportunity to mentor junior engineers while contributing to impactful projects that drive the UK's transition to net zero. Join us in our mission to deliver clean, green energy and be part of a diverse team dedicated to innovation and excellence.

EDF UK

Contact Details:

EDF UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Flexible Remote Responsible AI Specialist

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 EDF UK!

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 Flexible Remote Responsible AI Specialist at EDF UK.

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 EDF UK.

Apply Directly through Our Website

When you find a suitable opening like Flexible Remote Responsible AI Specialist at EDF UK, 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 Flexible Remote Responsible AI Specialist

Framework Development
Risk Management
Stakeholder Engagement
Policy Translation
Ethical AI Deployment
Control Implementation
Communication Skills

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 EDF UK, 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 EDF UK. 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 EDF UK

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 EDF UK!

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.