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- Tasks: Lead the development of machine learning solutions for CRM personalization and recommendation engines.
- Company: Top recruitment agency in analytics with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by optimising recommendation systems in a dynamic environment.
- Qualifications: Proven experience in machine learning and proficiency in Python required.
- Other info: Based in central London with excellent career advancement opportunities.
The predicted salary is between 70000 - 85000 £ per year.
A leading recruitment agency in analytics is seeking a Senior Data Scientist to lead the development of machine learning solutions focused on CRM personalization. This role involves building and optimizing recommendation engines and collaborating with cross-functional teams.
The ideal candidate has proven experience in machine learning, particularly in recommendation systems, and proficiency in Python.
The position offers a hybrid working model based in central London, with a salary range of £70,000 - £85,000 depending on experience.
CRM Personalization ML Lead - Deep Learning & Recommendations in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CRM Personalization ML Lead - Deep Learning & Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 machine learning projects, especially those related to recommendation systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨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 past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by recruiters who are actively looking for talent like yours.
We think you need these skills to ace CRM Personalization ML Lead - Deep Learning & Recommendations in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and recommendation systems in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the listing to show us you’re a perfect fit for the CRM Personalization ML Lead position.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Datatech Analytics
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems. Be ready to discuss your past projects and how you've applied deep learning techniques in real-world scenarios.
✨Python Proficiency is Key
Since the role requires proficiency in Python, be prepared to showcase your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Collaboration is Crucial
This position involves working with cross-functional teams, so highlight your teamwork experiences. Share examples of how you've successfully collaborated with others to achieve project goals, especially in a data-driven environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to CRM personalization and their current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
