At a Glance
- Tasks: Unearth and prep data for AI projects, ensuring quality and compliance.
- Company: Join AQA, a dynamic organisation shaping the future of AI.
- Benefits: Flexible working, 25 days leave, private medical insurance, and online learning.
- Other info: Diverse workplace committed to inclusion and personal growth.
- Why this job: Make a real impact in AI while boosting your career in a supportive environment.
- Qualifications: Basic knowledge of Python and SQL; passion for data is key.
The predicted salary is between 28800 - 32800 £ per year.
Job Description
AI Data Coordinator Permanent Manchester £28,800 - £32,800Smart Hybrid Working Are you a data enthusiast who gets a buzz from working with Artificial Intelligence (AI)?Do you love the idea of shaping the future by working with real-life data in a dynamic organisation?
If so, this job is calling your name.
You'll be at the core of our AI for Assessment programme, playing a key role in sharing, shaping, and safeguarding data to support groundbreaking AI projects.
Think of it as your chance to work on something truly impactful-and boost your career in the process.
In AQA, the job title is Data Share Administrator - AI Programme, it has been altered for this advert so that you could find it and apply.
What's in it for you?This is more than just a job; it's an exciting step forward in a mature data environment.
Learning the ins and outs of AI data, shaping how cutting-edge technology evolves, your impact will be far-reaching.
There are lots of benefits to working with AQA including a flexible working environment, a 35 hour working week, 25 days annual leave (rising with service) and additional closure days in December, Private Medical Insurance, Network groups covering LGBTQ+, neurodiversity, disability, women's empowerment, mental well-being, an extensive online learning platform and more.
In this role you will be responsible for: Unearthing, matching, and prepping data that is essential for AI - exam data, metadata, and more.
Taking our data to the next level with quality checks and refined automated processes like image-to-text conversion.
Coordinating data handovers - ensuring smooth and secure collaboration with third-party partners.
Maintain documentation and audit records for any data activity, liaising with the data compliance team to ensure the safety and security of the data, ensuring data is handled responsibly and ethically within the GDPR guidelines Liaise with internal/external stakeholders on data requests regarding AI use.
You will thrive in this role because: You'll learn from experts, working hands-on with unique and complex datasets.
A basic understanding of PYTHON and SQL will be good, we will help you develop in those skills You'll get to collaborate with internal teams and external partners, mastering the art of data management and quality assurance.
Diversity and Inclusion Statement At AQA, we are committed to fostering a workplace that celebrates diversity and promotes equity and inclusion.
We believe that a diverse team brings richer perspectives and drives better outcomes.
Our ED&I strategy ensures that everyone - regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background - is valued, respected, and empowered to thrive.
We actively promote inclusive language, avoid stereotypes, and strive for representation across all dimensions of diversity.
We welcome applications from individuals of all backgrounds and lived experiences.
How to Apply Upload your most recent CV with a cover letter explaining your suitability for the role - please add a link to your code repository OR upload an example of data management (e. g. retrieval, merging, cleaning) you have done as part of your studies, internship, previous employment...
On application please also answer the question about what excites you most about data .
Applications will close at 23:59 on Monday 3 August Interviews will take place face to face at our Manchester office during the week beginning 10 August, giving you the chance to see where you'll be working and meet some of the team in person.#MCRE#LI-FH1TPBN1_UKTJ
AI Data Coordinator in Manchester employer: AQA
AQA is an exceptional employer located in Manchester, offering a dynamic work environment where education specialists can thrive. With a strong focus on employee well-being, we provide generous benefits such as 25 days of annual leave and private medical insurance, alongside a hybrid working model that promotes work-life balance. Our commitment to professional development and community engagement ensures that you will have meaningful opportunities to grow and make a positive impact in the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Coordinator in Manchester
✨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 AQA!
✨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 AI Data Coordinator at AQA.
✨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 AQA.
✨Apply Directly through Our Website
When you find a suitable opening like AI Data Coordinator at AQA, 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 AI Data Coordinator in Manchester
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 AQA, 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 AQA. 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 AQA
✨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 AQA!
✨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.
