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For Companies At a Glance
- Tasks: Analyse large datasets and apply machine learning to uncover insights.
- Company: Join a forward-thinking company in Central Manchester with a collaborative vibe.
- Benefits: Enjoy a competitive salary, 25 days holiday, and private health benefits.
- Why this job: Make a real impact by solving complex data problems with cutting-edge technology.
- Qualifications: Studying Data Science or related field with strong AI knowledge and Python skills.
- Other info: Flexible working options and exposure to industry-standard tools await you.
JOB DUTIES & RESPONSIBILITIES
- Collect, process, and analyse large datasets to extract meaningful insights.
- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- Collaborate with cross‑functional teams to understand business objectives and develop data‑driven solutions.
- Design and implement end‑to‑end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
- Document processes, methodologies, and findings in a clear, structured manner.
- Communicate complex data insights and findings to non‑technical stakeholders through visualizations and presentations.
Experience & Education Requirements
- Currently enrolled in a UK university studying Data Science, Computer Science, Mathematics, Statistics, or a related field with predicted 2:1 or 1st class honours.
- Academic / Industry experience of applying AI techniques to solve complex data problems.
- Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualisation techniques.
- Proficiency in Python programming, and experience working with large unstructured data.
- Excellent communication skills, with the ability to explain complex concepts to non‑technical stakeholders.
- Strong problem‑solving skills and attention to detail.
Desirable Skills (Not Required)
- Experience working with natural language processing (NLP) techniques.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with generative AI tools and frameworks (e.g., LLMs, diffusion models).
- Experience building Python microservices with Flask and Docker.
- Knowledge of SQL and database systems.
- Experience with agile development methodologies and version control tools such as Git.
What We Offer
- Competitive placement fixed salary income.
- 25 days + bank holidays per year, private dental & medical, life assurance, pension.
- Working hours 9 – 5pm in our Central Manchester offices (hybrid and remote options available).
- Exposure to real‑world business problems and industry‑standard tools.
- Opportunity to work on impactful projects from inception to deployment.
AI Placement Analyst in Manchester employer: PRGX Global, Inc
Contact Detail:
PRGX Global, Inc 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 machine learning and data analysis. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data science. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 your experience with machine learning, data analysis, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in Python, machine learning, and data visualisation. We love seeing examples of your work, so if you have any projects or portfolios, make sure to include them!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at PRGX Global, Inc
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the datasets you might be working with. Brush up on your data preprocessing and feature engineering skills, as well as any machine learning algorithms you’ve used in the past. Being able to discuss specific examples will show your expertise and confidence.
✨Master the Art of Communication
Since you'll need to explain complex data insights to non-technical stakeholders, practice simplifying your explanations. Use visual aids or examples to illustrate your points. This will demonstrate your ability to bridge the gap between technical and non-technical audiences, which is crucial for this role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data problems in the past. Think of specific challenges you faced, the methods you applied, and the outcomes. This will highlight your analytical thinking and problem-solving abilities, which are key for an AI Placement Analyst.
✨Familiarise Yourself with Tools and Technologies
Make sure you’re up to speed with the tools mentioned in the job description, like Python, SQL, and any machine learning frameworks. If you have experience with generative AI tools or agile methodologies, be ready to talk about that too. Showing that you’re proactive about learning new technologies can set you apart from other candidates.
