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- Tasks: Analyse large datasets and develop AI solutions to drive business insights.
- Company: Join PRGX, a leader in data analytics and profit recovery services.
- Benefits: Gain hands-on experience, mentorship, and a competitive salary during your placement.
- Why this job: Make an impact with cutting-edge AI technology while enhancing your skills.
- Qualifications: Undergraduate student in Data Science or related field with strong analytical skills.
- Other info: Inclusive workplace with opportunities for career growth and development.
The predicted salary is between 15000 - 20000 £ per year.
Undergraduate Placement (12-Month Sandwich Year Programme)
Employment Type: Full-time, 12-month fixed-term student placement
Work Authorization Requirements: Must have the legal right to work in the UK for the duration of the placement.
Language Requirements: Fluent English (written and verbal)
About PRGX: PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients.
Job Duties & Responsibilities:
- Collect, clean, process, and analyse large datasets to extract valuable insights
- Apply machine learning algorithms and statistical modelling techniques to identify patterns, trends, and relationships
- Collaborate with cross-functional teams to understand business needs and develop data-driven AI solutions
- Design, implement, and tune end-to-end ML pipelines (pre-processing, model training, evaluation, deployment)
- Document technical processes, methodologies, and findings in a structured and repeatable format
- Communicate complex analytical or technical findings to non-technical stakeholders using visualisation and clear storytelling
- Support ongoing AI/ML initiatives that enhance operational performance and analytics capability
- Other duties as assigned.
Knowledge & Qualifications:
- Undergraduate student only - enrolled at a UK university in Data Science, Computer Science, Mathematics, Statistics, or a related degree with a placement/sandwich year
- Predicted 2:1 or 1st Class Honours
- Academic or practical experience applying AI/ML methods to real datasets
- Understanding of supervised and unsupervised learning algorithms, deep learning, and statistical modelling
- Experience with data preprocessing, feature engineering, data visualisation
- Strong proficiency in Python and experience with large or unstructured datasets
- Excellent communication skills with the ability to convey technical concepts clearly
- Strong analytical thinking, problem-solving capability, and exceptional attention to detail
Desirable (Not Essential) Skills:
- Natural Language Processing techniques
- Deep learning frameworks (TensorFlow, PyTorch)
- Generative AI tools/frameworks (LLMs, diffusion models)
- Experience building Python microservices (Flask, Docker)
- SQL and database systems
- Agile methodologies and version control tools such as Git
Our Commitment to Equal Opportunity: PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.
Physical Requirements: Ability to sit or stand for extended periods, manual dexterity for keyboard and office equipment use, visual acuity for screen-based work, ability to lift light items such as laptops, and normal speech/hearing for in-person and virtual communication.
Data Privacy: Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.
AI Placement Analyst () in Manchester employer: Hirebridge
Contact Detail:
Hirebridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Placement Analyst () in Manchester
✨Tip Number 1
Network like a pro! Reach out to your university's alumni or professionals in the AI field. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and machine learning. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace AI Placement Analyst () in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Placement Analyst role. Highlight relevant skills and experiences, especially those related to data science and machine learning. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a great fit for this placement. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects involving AI or data analysis, make sure to mention them! Whether it's coursework, internships, or personal projects, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're keen on joining our team at PRGX. We can't wait to hear from you!
How to prepare for a job interview at Hirebridge
✨Know Your Data
Before the interview, brush up on your understanding of data analytics and machine learning. Be ready to discuss specific algorithms you've used and how they apply to real datasets. This will show your technical prowess and enthusiasm for the role.
✨Showcase Your Projects
Prepare to talk about any relevant projects or coursework where you've applied AI/ML methods. Highlight your role in these projects, the challenges you faced, and how you overcame them. This gives a practical context to your skills.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use visual aids if possible, and think about how you can tell a story with your data to make it relatable.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about PRGX's current AI initiatives or their approach to data analytics. This shows your genuine interest in the company and the role, and it helps you gauge if it's the right fit for you.
