Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning models to tackle real-world challenges.
- Company: Leading financial institution in the UK with a focus on innovation.
- Benefits: Competitive salary, valuable mentorship, and hybrid working model.
- Why this job: Gain hands-on experience in AI and data science while making a real impact.
- Qualifications: Strong Python skills and currently in your penultimate year of university.
- Other info: Perfect opportunity for career growth in a dynamic industry.
The predicted salary is between 30000 - 42000 £ per year.
A leading financial institution in the UK is seeking candidates for their Data Science & AI Industrial Placement. This role provides the opportunity to design and deploy machine learning models while engaging in real-world challenges.
Ideal candidates will be in their penultimate year of university and possess strong Python skills. The placement is hybrid, requiring at least two office days per week, offering a competitive salary and valuable mentorship.
AI & Data Science Industrial Placement - Hybrid & Fully Funded employer: TargetJobs UK
Contact Detail:
TargetJobs UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Science Industrial Placement - Hybrid & Fully Funded
✨Tip Number 1
Network like a pro! Reach out to current or past interns at the company through LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your projects. We want to show them how we can tackle real-world challenges with our knowledge.
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After an interview, drop a quick thank-you email. It shows our enthusiasm and keeps us fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight our strengths for this specific role.
We think you need these skills to ace AI & Data Science Industrial Placement - Hybrid & Fully Funded
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your Python skills and any relevant projects or coursework that showcase your data science abilities. 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 explain why you're passionate about AI and data science, and how this placement aligns with your career goals. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any machine learning models or data analysis projects, be sure to mention them in your application. We love seeing practical experience, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at TargetJobs UK
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas, NumPy, and Scikit-learn, as well as any projects you've worked on that involved machine learning models.
✨Understand the Financial Sector
Familiarise yourself with how data science and AI are applied in the financial industry. Research recent trends and challenges in finance, and think about how your skills can contribute to solving these issues.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms and data analysis. Practice explaining concepts clearly and concisely, as you may need to demonstrate your thought process during problem-solving scenarios.
✨Show Enthusiasm for Mentorship
Since this role offers valuable mentorship, express your eagerness to learn from experienced professionals. Share examples of how you've benefited from mentorship in the past and how you plan to leverage it in this placement.