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For Companies At a Glance
- Tasks: Lead data science projects using machine learning and generative AI to drive insights.
- Company: Join a global tech leader known for innovation and excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for continuous learning.
- Why this job: Shape the future of AI while working on exciting, impactful projects.
- Qualifications: Strong background in Python, data science, and machine learning required.
- Other info: Collaborative team environment with great potential for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Role – Senior Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI
Location – Chester or Bromley
Job Description
Infosys is seeking a Senior AI/ML.
Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and AI community on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, machine learning, and generative AI. This is your chance to demonstrate your expertise and creativity. We recommend using platforms like GitHub to share your work with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We suggest practising common data science interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out on your dream job!
We think you need these skills to ace Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Core Python, Data Science, and Gen AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any interesting data science or machine learning projects, make sure to mention them! We’re keen to see practical examples of your work, especially those that demonstrate your problem-solving skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you’re well-versed in Core Python and the latest trends in Data Science and Generative AI. Brush up on your technical skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle real-world problems during the interview. Think of examples where you've used machine learning to solve complex issues, and be ready to explain your thought process clearly.
✨Understand the Company’s Vision
Do your homework on Infosys and their approach to AI and Data Science. Understanding their goals will help you align your answers with their vision and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions that show your enthusiasm for the position and the company. Inquire about their current projects in AI/ML or how they envision the future of data science within the organisation.
