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For Companies At a Glance
- Tasks: Join a dynamic team to develop and deploy data science models that drive marketing insights.
- Company: Work with a leading hospitality company focused on leveraging customer data for impactful decisions.
- Benefits: Enjoy a hybrid work model with flexibility and opportunities for professional growth.
- Why this job: Be part of a data-driven culture, mentor others, and make a real impact in the industry.
- Qualifications: Experience in data science, customer segmentation, and proficiency with Databricks is essential.
- Other info: This role requires one day a week in Burton, perfect for local candidates.
The predicted salary is between 52000 - 78000 £ per year.
Job Description
Data Scientist
£65k
Derby (Hybrid)
We are collaborating with a prominent hospitality company that is looking to add a Data Scientist to its team. The data scientist will focus on customer data and be responsible for the end-to-end deployment of various models, including propensity, customer segmentation, and CLV models, to analyze customer behaviour and provide insights to support marketing decisions.
Responsibilities:
- Work closely with IT teams to ensure the effective implementation of requirements and solutions.
- Develop a variety of data science models, ranging from statistical models to customer segmentations.
- Lead the development of data science models and establish best practices, contributing to the company’s transition toward becoming more data-driven.
- Mentor and guide junior data scientists on the team.
This role requires one day a week in Burton.
Desired Skills and Experience:
- Data Science
- Customer Segmentation
- Propensity Models
- Databricks
How to Apply:
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.
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Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with customer segmentation and propensity models. Understanding these concepts deeply will help you demonstrate your expertise during the interview process.
✨Tip Number 2
Showcase any experience you have with Databricks or similar data science tools. Being able to discuss your hands-on experience with these platforms can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've collaborated with IT teams in the past. Highlighting your ability to work cross-functionally will be crucial, as this role requires effective communication with technical teams.
✨Tip Number 4
Think about examples where you've mentored or guided others in data science. This role involves leading junior team members, so demonstrating your leadership skills will be beneficial.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and desired skills, such as customer segmentation and propensity models, to tailor your application accordingly.
Highlight Relevant Experience: In your CV, emphasize your experience with data science models, particularly in customer behavior analysis. Mention any specific projects or achievements that demonstrate your expertise in this area.
Showcase Technical Skills: Make sure to include your proficiency with tools like Databricks and any other relevant technologies. This will help you stand out as a candidate who can effectively contribute to the team.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention how you can contribute to their goal of becoming more data-driven.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science models, especially customer segmentation and propensity models. Highlight specific projects where you've successfully implemented these models and the impact they had on decision-making.
✨Demonstrate Collaboration
Since the role involves working closely with IT teams, be ready to share examples of how you've collaborated with cross-functional teams in the past. Emphasize your ability to communicate technical concepts to non-technical stakeholders.
✨Discuss Mentorship Experience
As mentoring junior data scientists is part of the job, think of instances where you've guided others. Share your approach to mentorship and how it has contributed to team development and success.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving skills and adaptability. Use the STAR method (Situation, Task, Action, Result) to structure your responses, particularly when discussing challenges you've faced in previous roles.
