At a Glance
- Tasks: Identify and implement AI solutions to enhance business efficiency and workflows.
- Company: Dynamic Manchester-based company embracing innovative technology.
- Benefits: Part-time role with a competitive salary and hands-on experience in AI.
- Other info: Perfect opportunity for those looking to kickstart their career in tech.
- Why this job: Gain practical experience in AI while making a real impact on business operations.
- Qualifications: Recent graduate with a passion for AI and problem-solving skills.
The predicted salary is between 27000 - 27000 £ per year.
- AI Implementer – Graduate Opportunity
- £27,000 per annum pro rata
- Part Time
- Are you a recent graduate with a genuine interest in
- Artificial Intelligence and technology
Do you enjoy finding smarter and more efficient ways of doing things?
Would you like the opportunity to help a business introduce AI into its everyday operations?
We are looking for a bright and inquisitive
AI Implementer to join a Manchester-based business on a part-time basis.
This is an excellent opportunity for a recent graduate who understands the potential of AI and wants to gain practical experience implementing it within a real commercial environment.
The Role
- This isn't a traditional IT or software development position. As
- AI Implementer
, you will work with different areas of the business to understand existing processes and identify where AI and automation could save time, improve efficiency and enhance the way people work.
Responsibilities will include
- Reviewing existing business processes and identifying opportunities to use AI.
- Researching and testing AI tools and applications.
- Introducing practical AI solutions into everyday workflows.
- Creating prompts, templates and repeatable AI processes.
- Using AI to support administration, research, marketing and reporting.
AI Implementation in Manchester employer: Agility
Agility is an excellent employer, offering a dynamic and supportive work culture in Solihull that fosters professional growth and development. As a Finance Business Partner, you will have the unique opportunity to engage with senior leadership, influence strategic decisions, and enhance your financial expertise while enjoying a balanced work-life environment with flexible commuting options.
StudySmarter Expert Advice🤫
We think this is how you could land AI Implementation in Manchester
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Agility.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Agility and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace AI Implementation in Manchester
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Agility aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Agility
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Agility.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Agility.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Agility, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Agility will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
