Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative GenAI solutions and evaluate them in a high-growth environment.
- Company: Globally renowned consulting firm with a focus on equity and inclusion.
- Benefits: Competitive salary, dynamic team culture, and opportunities for career growth.
- Why this job: Work with leading industry clients and make a real impact in the field of ML.
- Qualifications: Strong expertise in Python/R and experience in applied ML and data strategy.
- Other info: Join a collaborative team dedicated to excellence and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A globally renowned consulting firm is seeking a skilled Data Scientist to create innovative GenAI solutions. The role requires strong expertise in Python/R, LLM toolchains, and collaboration across engineering teams. Ideal candidates have a quantitative degree and substantial experience in applied ML and data strategy. You will design and evaluate solutions in a high-growth environment, working with leading industry clients. Join us to boost your career in a dynamic team culture focused on equity, inclusion, and excellence.
GenAI Data Scientist: LLM/RAG Delivery & Production ML in London employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist: LLM/RAG Delivery & Production ML in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python/R and LLM toolchains. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your experience with applied ML and data strategy in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace GenAI Data Scientist: LLM/RAG Delivery & Production ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python/R and LLM toolchains. 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 GenAI solutions and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working across engineering teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Infosys Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and R, as well as the LLM toolchains mentioned in the job description. Brush up on your applied ML knowledge and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Collaboration Skills
Since the role involves working with engineering teams, prepare examples that highlight your teamwork and communication skills. Think of situations where you successfully collaborated on a project and how you contributed to the team’s success.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when designing and evaluating solutions, especially in high-growth environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Your Commitment to Inclusion and Excellence
The company values equity and inclusion, so be prepared to discuss how you’ve contributed to a positive team culture in the past. Share experiences that demonstrate your commitment to excellence and how you can bring that mindset to their dynamic team.
