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- Tasks: Develop predictive models to boost customer engagement and identify growth opportunities.
- Company: Dynamic tech recruiting platform in the heart of London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a diverse team and make a real impact in the financial services sector.
- Qualifications: Strong background in statistical modelling and machine learning, especially in customer lifetime value.
- Other info: Innovative environment with a focus on driving solutions.
The predicted salary is between 43200 - 72000 £ per year.
A technology recruiting platform is seeking a Senior Data Scientist to join the Marketing Team in London. This role will involve developing predictive models to identify growth opportunities and improve customer engagement.
The ideal candidate will have a strong background in statistical modeling and machine learning, especially in customer lifetime value.
Join a diverse and inclusive team striving to drive innovative solutions in the financial services industry.
Senior Data Scientist - Marketing: Growth with LTV in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Marketing: Growth with LTV in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and any relevant projects. We want to demonstrate our expertise in statistical modelling and machine learning.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to customer lifetime value and growth strategies. Let’s nail those technical questions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Scientist - Marketing: Growth with LTV in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with statistical modelling and machine learning in your application. We want to see how you've used these skills to drive growth and improve customer engagement in your previous roles.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Senior Data Scientist role. Mention your experience with customer lifetime value and how it relates to our goals at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people on our team!
How to prepare for a job interview at hackajob
✨Know Your Models
Brush up on your statistical modelling and machine learning techniques, especially those related to customer lifetime value. Be ready to discuss specific models you've developed or worked with, and how they contributed to growth in previous roles.
✨Understand the Business
Familiarise yourself with the financial services industry and the company's position within it. Research their marketing strategies and think about how your skills can help improve customer engagement and identify growth opportunities.
✨Prepare for Technical Questions
Expect technical questions that assess your analytical skills and problem-solving abilities. Practice explaining complex concepts in simple terms, as you may need to communicate your findings to non-technical team members.
✨Showcase Your Team Spirit
Since the role is in a diverse and inclusive team, be prepared to discuss how you collaborate with others. Share examples of how you've worked in teams to drive innovative solutions, highlighting your adaptability and communication skills.
