At a Glance
- Tasks: Transform data into powerful insights to drive business success in eCommerce.
- Company: Join a dynamic team at Lands' End, a leader in the retail industry.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Collaborate with diverse teams and enjoy a flexible working environment.
- Why this job: Make a real impact by shaping data strategies across multiple European markets.
- Qualifications: Experience in data science and a passion for turning data into actionable insights.
The predicted salary is between 50000 - 60000 £ per year.
Love Data and want to support a growing eCommerce business to turn data into powerful business outcomes? We are looking for a Data Scientist for our European Analytics Team. The Data Scientist is a new role in our growing Europe Analytics Team, which sits within a wider European team based in Oakham, Rutland and Mettlach, Germany. The role will be supporting multiple markets (UK, Germany, France, Austria) and will help build and shape the data science capability and strategy for Lands’ End in Europe.
This is a hands-on, high-impact role where you will apply advanced analytics and data science techniques to unlock deeper customer understanding, optimise marketing performance, and drive commercial decision making across the business. You will work across Marketing, Merchandising, E-commerce and Operations to enable intelligent decision making at all levels. This role combines deep technical expertise with strong commercial application, helping translate complex data into actionable business outcomes.
Our team operates a hybrid working model with a minimum of 9 days on site each month; however, remote options will be considered for the right candidate.
What you can expect from the Role:
- Advanced Analytics and Modelling
- Develop predictive models (e.g. customer lifetime value, propensity, response modelling)
- Apply segmentation and clustering techniques to refine customer targeting
- Build attribution and measurement frameworks for marketing activity
- Support pricing and promotional optimisation through quantitative analysis
- Data Product Development
- Design and build reusable data science products and pipelines
- Support automation of reporting and decision-making tools
- Work with engineering and IT teams to scale solutions within our analytics ecosystem
Data Scientist in Rutland employer: Lands’ End Europe Ltd
At Lands' End, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within our European Analytics Team. Located in the picturesque town of Oakham, Rutland, our team enjoys a hybrid working model that promotes work-life balance while providing ample opportunities for professional growth and development in the fast-paced eCommerce sector. Join us to leverage your data expertise in a role that not only drives impactful business outcomes but also supports a diverse range of markets across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Rutland
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially in the Analytics Team. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those that demonstrate predictive modelling or customer segmentation. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for hands-on assessments. Companies love candidates who can demonstrate their expertise in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our data-driven success.
We think you need these skills to ace Data Scientist in Rutland
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your love for data shine through! Share specific examples of how you've used data to drive business outcomes in the past. We want to see your enthusiasm and how you can bring that energy to our team.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight relevant skills and experiences that align with the job description. We appreciate when candidates take the time to connect their background to what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We want to understand your qualifications without having to decipher complex terms!
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 shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Lands’ End Europe Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques and tools. Be ready to discuss predictive modelling, segmentation, and clustering in detail. They’ll want to see how you can apply these skills to real-world scenarios, so think of examples from your past work or projects.
✨Understand the Business Context
It’s not just about the numbers! Familiarise yourself with the eCommerce landscape and how data impacts marketing and operations. Show them you can translate complex data into actionable insights that drive business decisions. Research their current strategies and think about how you can contribute.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when solving data-related problems. You might be asked to walk through a case study or a past project, so have a clear narrative ready that highlights your analytical skills and commercial impact.
✨Show Your Team Spirit
This role involves collaboration across various teams, so be prepared to discuss how you work with others. Share examples of how you’ve successfully collaborated with marketing, IT, or engineering teams in the past. Highlight your communication skills and your ability to make data accessible to non-technical stakeholders.
