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- Tasks: Drive innovation in generative AI and recommender systems to shape the future of online experiences.
- Company: Be-IT, a leader in tech recruitment, helping build high-performing teams.
- Benefits: Competitive salary, bonuses, hybrid work, and opportunities for professional growth.
- Why this job: Make a real impact on millions by working on cutting-edge AI projects.
- Qualifications: Experience in machine learning, Python, SQL, and generative AI technologies.
- Other info: Join a dynamic team and be at the forefront of technological advancements.
The predicted salary is between 72000 - 84000 £ per year.
Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future of an industry. If you're feeling stuck in a position that doesn't allow you to truly innovate or make an impact, this opportunity is for you.
We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see your work directly impact millions of daily users worldwide. You'll be part of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize content and create a leading platform in their field.
Technical Requirements:
- Interest in Generative AI and Recommender Systems: Proven experience in developing and implementing recommender system solutions, with exploration of Generative AI offerings, including Image and Video Content. Experience applying GenAI technology in a commercial context is preferred.
- Strong Programming Skills: Proficiency in Python and SQL.
- Hands-on Experience with LLMs: Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG).
- Advanced Evaluation Techniques: Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics to ensure quality, relevance, and user engagement of AI-generated content.
This London-based hybrid role offers a base salary of £90,000 - £100,000, plus bonuses and other benefits. Apply now for immediate consideration.
Data Scientist - GenAI & Recommender Systems in London employer: Be-IT
Contact Detail:
Be-IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - GenAI & Recommender Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Data Scientists. 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 GenAI and recommender systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your experience with LLMs and A/B testing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals ready to make an impact in the world of tech.
We think you need these skills to ace Data Scientist - GenAI & Recommender Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with generative AI and recommender systems. We want to see how you've used these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who take the time to align their experiences with what we’re looking for, so make it personal!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Be-IT
✨Know Your GenAI and Recommender Systems
Make sure you brush up on the latest trends in generative AI and recommender systems. Be ready to discuss your previous projects and how you've applied these technologies. Showing genuine enthusiasm for the field can really set you apart!
✨Showcase Your Technical Skills
Prepare to demonstrate your programming prowess, especially in Python and SQL. You might be asked to solve a coding problem or explain your approach to a data-related challenge, so practice articulating your thought process clearly.
✨Discuss Evaluation Techniques
Be ready to talk about advanced evaluation techniques like A/B testing and human-in-the-loop evaluation. Share specific examples of how you've used these methods to improve AI-generated content and user engagement in your past roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's use of GenAI and their vision for the future. This shows that you're not just interested in the role, but also in how you can contribute to their goals and innovations.
