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- Tasks: Develop predictive models and customer segmentation strategies to enhance personalised experiences.
- Company: Global lifestyle brand with a focus on innovation and customer experience.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on customer engagement through data science.
- Qualifications: Experience in data analysis, predictive modelling, and strong problem-solving skills.
- Other info: Collaborative environment with a focus on creativity and innovation.
The predicted salary is between 30000 - 50000 £ per year.
A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customer segmentation strategies to enhance personalised experiences and improve CRM effectiveness.
Responsibilities
- Develop and implement predictive models to understand customer behaviour
- Create customer segmentation using behavioural, transactional, and demographic data
- Design and build models to enhance personalised experiences across channels
- Collaborate on testing
Data Scientist employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the data science field, especially those at the company you're eyeing. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and customer segmentation projects. This is your chance to demonstrate how you can enhance personalised experiences and improve CRM effectiveness.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the latest trends in data science. We want to impress them with our knowledge of customer behaviour and model design!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive features and tips that can help you stand out in the hiring process.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with predictive models and customer segmentation, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include any relevant projects or case studies in your application. If you've worked on developing predictive models or enhancing customer experiences, let us know! This gives us a glimpse into your practical skills and creativity.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point while still showcasing your passion for data science and how you can contribute to our team.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at FRESHMINDS
✨Know Your Data
Make sure you brush up on your data science fundamentals. Be prepared to discuss your experience with predictive modelling and customer segmentation. Familiarise yourself with the tools and techniques you've used in the past, as well as any relevant projects that showcase your skills.
✨Understand the Brand
Research the global lifestyle brand thoroughly. Understand their target audience, values, and how they use data to enhance customer experiences. This will help you tailor your answers and demonstrate your genuine interest in the company during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, model building, and statistical methods. Practice explaining complex concepts in simple terms, as you may need to communicate your findings to non-technical stakeholders. Being able to articulate your thought process is key!
✨Showcase Collaboration Skills
Since you'll be collaborating with various teams, be ready to discuss your teamwork experiences. Share examples of how you've worked with others to achieve a common goal, especially in projects involving customer data or CRM strategies. Highlighting your ability to work well with others can set you apart.
