Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop advanced data products for a leading online fashion brand.
- Company: An established fashion brand experiencing rapid growth and rich in customer data.
- Benefits: Work with top engineers, access to budget for new projects, and utilize cutting-edge software.
- Why this job: Opportunity to become a top performer and international expert in a fast-growing industry.
- Qualifications: Strong background in statistics, Python, SQL, R; experience with large datasets required.
- Other info: Collaborate directly with the CMO, Chief Data Scientist, and the founder (an MIT grad!).
The predicted salary is between 43200 - 72000 £ per year.
A Senior Data Scientist is required for an established online fashion brand, who has seen strong growth in revenues and new markets in last 2 years.
Whtat’s great about this Senior Data Scientist role ?
- You get the opportunity to join an established data science team developing some of the most advanced products in the industry
- The company is rich in untapped customer data offering huge opportunities to create value
- You will work closely with world class engineers to develop a new data warehouse
- Budget and bandwidth available to develop new products and services utilise the best commercial software
- Working directly with the CMO & Chief Data Scientist, and also the founder of the business (an MIT grad!)
- You will need to be a top class Statistician
- Python, SQL, R
- You will likely have done a very numerate degree or master. You may even have a Quantitative PhD
- You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them
- Experience of working in a Pricing capability would be advantageous
The Senior Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field.
The Senior Data Scientist will join an established brand that is growing rapidly.
Click on the link to apply now for the Senior Data Scientist role.
#J-18808-Ljbffr
Senior Data Scientist employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with large customer databases during the interview. Be prepared to discuss specific examples of how you've created business value from data, as this will demonstrate your ability to contribute to our growth.
✨Tip Number 2
Familiarize yourself with the latest trends in data science and analytics, especially in the fashion industry. This knowledge will help you engage in meaningful conversations with our team and show that you're passionate about applying data science to real-world problems.
✨Tip Number 3
Highlight any experience you have with pricing strategies or capabilities. Since this role may involve pricing analysis, demonstrating your expertise in this area could set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your proficiency in Python, SQL, and R. We value technical skills highly, so be ready to provide examples of projects where you've utilized these languages to solve complex data problems.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with large customer databases and datasets. Provide specific examples of the business value you have created from your data analysis.
Showcase Technical Skills: Clearly list your proficiency in Python, SQL, and R. If you have experience in pricing capabilities, be sure to mention it as it is considered advantageous for this role.
Tailor Your CV: Customize your CV to reflect the requirements of the Senior Data Scientist position. Focus on your numerate degree or master's, and any relevant quantitative PhD work that aligns with the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for joining an established data science team and contributing to innovative product development.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical methods and how you've applied them in previous roles. Highlight specific projects where your statistical skills led to significant business outcomes.
✨Demonstrate Technical Proficiency
Make sure to showcase your proficiency in Python, SQL, and R during the interview. Be ready to provide examples of how you've used these tools to analyze large datasets and derive actionable insights.
✨Discuss Your Experience with Customer Data
Since the company has a wealth of untapped customer data, be prepared to talk about your experience working with large customer databases. Share specific examples of how you created value from this data in past roles.
✨Prepare for Strategic Conversations
As you'll be working closely with the CMO and Chief Data Scientist, think about how you can contribute to strategic discussions. Prepare to discuss how your data-driven insights can influence pricing strategies and product development.
