At a Glance
- Tasks: Deliver end-to-end Data Science and Generative AI solutions while mentoring junior consultants.
- Company: Join DeepRec.ai, a forward-thinking company in the heart of London.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to influence and innovate in the AI space.
- Why this job: Make a real impact by shaping AI delivery for enterprise clients.
- Qualifications: Strong Python and Machine Learning skills with experience in the Data Science lifecycle.
The predicted salary is between 60000 - 80000 € per year.
DeepRec.ai is seeking a Data Scientist for a hybrid role in London. You will deliver end-to-end Data Science and Generative AI solutions, translate complex AI outputs into business insights, and mentor junior consultants. This role demands strong Python and Machine Learning skills, experience across the Data Science lifecycle, and an understanding of model evaluation metrics. Join us to impact enterprise clients by shaping AI delivery and validation.
GenAI Data Science Consultant — Impact & Value Driver in London employer: DeepRec.ai
DeepRec.ai is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact enterprise clients. With a strong emphasis on professional development, you will have ample opportunities to mentor junior consultants and enhance your skills in a dynamic hybrid environment in London. Join us to be part of a forward-thinking team that values creativity and drives meaningful change through cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Data Science Consultant — Impact & Value Driver in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Data Science projects, especially those involving Generative AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and Machine Learning knowledge. Be ready to discuss your experience with model evaluation metrics and how you've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to 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 Science Consultant — Impact & Value Driver in London
Some tips for your application 🫡
Showcase Your Skills:Make sure to highlight your Python and Machine Learning skills in your application. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for the GenAI Data Science Consultant role. Mention how your experience aligns with delivering end-to-end Data Science solutions and translating AI outputs into business insights.
Be Clear and Concise:When writing your application, clarity is key! We appreciate straightforward language that gets to the point. Avoid jargon unless it’s necessary, and make sure your passion for Data Science shines through.
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 to impact enterprise clients!
How to prepare for a job interview at DeepRec.ai
✨Know Your Python Inside Out
Make sure you're well-versed in Python, as it's a key skill for this role. Brush up on libraries like Pandas, NumPy, and Scikit-learn, and be ready to discuss how you've used them in past projects.
✨Master the Data Science Lifecycle
Familiarise yourself with each stage of the Data Science lifecycle. Be prepared to share specific examples of how you've navigated through data collection, cleaning, modelling, and evaluation in your previous roles.
✨Translate AI Outputs into Business Insights
Practice explaining complex AI concepts in simple terms. Think of examples where you've successfully communicated technical findings to non-technical stakeholders, as this will be crucial in your new role.
✨Showcase Your Mentoring Skills
Since mentoring junior consultants is part of the job, come prepared with examples of how you've guided others in the past. Highlight your approach to teaching and supporting team members in their development.
