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For Companies At a Glance
- Tasks: Lead projects on customer loyalty, segmentation, and retention using data science models.
- Company: Join a top global retail company focused on enhancing data capabilities.
- Benefits: Enjoy a competitive salary up to £90k and a bonus scheme.
- Why this job: Make an impact in customer marketing while coaching junior team members in a dynamic environment.
- Qualifications: Experience with Python, SQL, Azure, and loyalty schemes is essential.
- Other info: This role offers a hybrid work model in London.
The predicted salary is between 80000 - 90000 £ per year.
Senior Data Scientist – Loyalty
Salary: £80k – £90k
Location: London, Hybrid
Data Idols are working with one of the top global retail companies to expand its data capabilities by hiring a Senior Data Scientist within its loyalty scheme department.
The Opportunity
- You will be working on various projects across loyalty, including customer segmentation, customer retention, customer profiling and customer marketing to help them leverage their data to increase customer sign-up
- You will be helping to create and build various data science models using numerous technologies.
- Coach and support junior members of the team and help contribute to their personal development
What's in it for you?
- Up to £90k
- Bonus scheme
Skills and Experience
- Experience in using modern technologies such as Python, Pyspark, Databricks
- Experience in using advanced SQL
- Experience with Cloud computing, preferably Azure
- Experience in working on loyalty scheme projects
If you would like to be considered for this exciting role, please submit your cv for initial screening
Senior Data Scientist – Loyalty
Desired Skills and Experience
Python|Loyalty|Customer
Senior Data Scientist - Loyalty employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Loyalty
✨Tip Number 1
Make sure to showcase your experience with loyalty schemes in your conversations. Highlight specific projects where you've successfully implemented data science models that improved customer retention or segmentation.
✨Tip Number 2
Familiarize yourself with the latest trends in customer loyalty programs and be ready to discuss how data science can enhance these initiatives. This will demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to talk about your technical skills, especially in Python, SQL, and cloud computing. Be ready to provide examples of how you've used these technologies in past projects, particularly in a retail context.
✨Tip Number 4
Show your leadership potential by discussing any mentoring or coaching experiences you have. This role involves supporting junior team members, so demonstrating your ability to guide others will be a plus.
We think you need these skills to ace Senior Data Scientist - Loyalty
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with loyalty schemes. Emphasize your skills in Python, SQL, and any cloud computing experience, especially with Azure.
Showcase Your Projects: Include specific examples of projects you've worked on that relate to customer segmentation, retention, or profiling. Detail the technologies you used and the impact of your work.
Craft a Compelling Cover Letter: Write a cover letter that connects your experience to the job description. Explain why you're passionate about loyalty programs and how your skills can contribute to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Pyspark, and advanced SQL. Highlight specific projects where you utilized these technologies, especially in the context of loyalty schemes.
✨Demonstrate Your Understanding of Customer Loyalty
Familiarize yourself with customer segmentation, retention strategies, and profiling techniques. Be ready to share insights or case studies that illustrate your expertise in enhancing customer loyalty through data science.
✨Prepare for Behavioral Questions
Expect questions about teamwork and mentoring, as you'll be coaching junior members. Think of examples that showcase your leadership skills and how you've contributed to the development of others.
✨Discuss Cloud Computing Experience
Since experience with Azure is preferred, be ready to talk about any cloud computing projects you've worked on. Explain how you leveraged cloud technologies to improve data processing or model deployment.
