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- Tasks: Create innovative GenAI solutions and evaluate cutting-edge ML applications.
- Company: Globally renowned consulting firm with a focus on equity and inclusion.
- Benefits: Competitive salary, dynamic team culture, and career growth opportunities.
- Why this job: Join a high-growth environment and work with leading industry clients.
- Qualifications: Expertise in Python/R, LLM toolchains, and applied ML experience.
- Other info: Collaborative atmosphere that values excellence and diversity.
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 City of Westminster 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 City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects and data strategies. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python/R skills and be ready to discuss your experience with LLM toolchains. Practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace GenAI Data Scientist: LLM/RAG Delivery & Production ML in City of Westminster
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, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
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 brush up on your Python and R skills, as well as the LLM toolchains. Be ready to discuss specific projects where you've applied these technologies, showcasing your problem-solving abilities and technical expertise.
✨Showcase Your Collaboration Skills
Since this role involves working across engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects and how you contributed to achieving common goals.
✨Demonstrate Your Data Strategy Knowledge
Be prepared to talk about your experience with applied machine learning and data strategy. Think of concrete examples where you've designed or evaluated solutions that had a significant impact, especially in high-growth environments.
✨Embrace the Company Culture
Familiarise yourself with the firm's focus on equity, inclusion, and excellence. During the interview, express how your values align with theirs and share any experiences that demonstrate your commitment to these principles.
