At a Glance
- Tasks: Transform data into powerful insights for a leading eCommerce brand.
- Company: Join Lands’ End, a global retailer with a strong culture of service and innovation.
- Benefits: Enjoy hybrid working, gym access, employee discounts, and a supportive work environment.
- Other info: Be part of a diverse team committed to building a welcoming and inclusive culture.
- Why this job: Make a real impact by driving data-driven decisions across multiple markets.
- Qualifications: Experience in Data Science, strong programming skills, and a passion for analytics.
The predicted salary is between 45000 - 55000 £ 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
- Insight & Business Impact
- Translate complex outputs into clear, compelling recommendations
- Partner with stakeholders across Marketing, Trading and Digital teams
- Drive measurable improvements in customer engagement, revenue and profitability
- Collaboration & Capability Building
- Act as a technical expert within the analytics team, supporting analysts and stakeholders
- Promote best practice in statistical methods, experimentation and modelling
- Contribute to building a data-driven culture across the business
What we expect from you
- Proven experience in Data Science, Advanced Analytics or similar role
- Experience applying data science in a commercial setting (e.g. retail, eCommerce, marketing)
- Proven ability to deliver measurable business impact from data
- Strong programming skills (Python / R)
- SQL and experience working with large, complex datasets
- Solid understanding of:
- Statistical modelling
- Machine learning techniques
- Experimental design and testing
- Experience with cloud/data platforms or scalable pipelines
- Strong problem-solving and analytical thinking
- Ability to structure ambiguous problems into clear analytical approaches
- Experience linking analysis to business outcomes (not just modelling)
Personal Skills:
- Excellent communication skills – able to explain complex concepts clearly
- Strong stakeholder management across multiple functions
- Comfortable working cross-functionally
- Enthusiastic and creative, always looking for innovative solutions to business problems
- Personal pride, ensuring that work is always delivered to high standard
- Tenacious and driven to improve yourself, and the way things are done
- The ability to multi-task, especially when under pressure, and effectively prioritise
- The ability to work in a fast paced, changing environment
Benefits you will receive
- Hybrid Working Model
- Subsidised Restaurant
- Free access to a local Gym & Swimming Pool
- 50% Employee Discount
- Cash Health Scheme
- Free Annual Eye test
- Employer pension contribution up to 5%
- Free on-site parking
About the Company
Lands’ End is a global multi-channel retailer designing and selling American classically styled clothes for Women, Men & Footwear. With 50 years’ experience we are a company with a great story to tell. Lands’ End is renowned for its culture of service for the customer and is recognised as an innovator in the industry. We Value People. People are the heart of our company and our doors are open to everyone. For our customers and our employees, we are committed to creating an inspiring culture that is welcoming, safe and inclusive for all. Our strength in work and life comes from the combination of our unique experiences, backgrounds and talents. What we do as people makes Lands’ End a great place to shop and a great place to work.
Data Scientist in Oakham employer: Lands’ End Europe Ltd
Lands' End is an exceptional employer, offering a dynamic and inclusive work culture that values innovation and collaboration. As a Data Scientist in our European Analytics Team based in Oakham, you will enjoy a hybrid working model, competitive benefits including a subsidised restaurant and gym access, and ample opportunities for professional growth while making a tangible impact across multiple markets. Join us to be part of a company that prioritises its people and fosters a data-driven environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Oakham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that had a measurable impact. This will help you stand out and demonstrate your ability to turn data into actionable business outcomes.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your work can drive commercial decision-making and improve customer engagement.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Lands’ End.
We think you need these skills to ace Data Scientist in Oakham
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your love for data shine through! Share specific examples of how you've used data to drive business outcomes in previous roles. We want to see your enthusiasm for turning numbers into insights.
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight relevant experience in eCommerce and analytics, and connect your skills to the job description. This shows us that you understand what we're looking for!
Be Clear and Concise:We appreciate clarity! Use straightforward language and avoid jargon when explaining your experience and skills. Remember, we want to understand your journey and how it aligns with our needs without getting lost in technical terms.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for both you and us!
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, especially those relevant to eCommerce. Be ready to discuss predictive models, segmentation, and how you've applied these in real-world scenarios. Show them you can turn complex data into actionable insights!
✨Speak Their Language
Familiarise yourself with the specific terminology used in the job description. Use terms like 'customer lifetime value' and 'attribution frameworks' during your interview. This shows you understand their business and can communicate effectively with stakeholders across different functions.
✨Prepare for Problem-Solving Questions
Expect to tackle some analytical problems during the interview. Practice structuring your thought process clearly and logically. They’ll want to see how you approach ambiguous problems and translate them into clear analytical strategies, so be ready to demonstrate your problem-solving skills.
✨Show Your Collaborative Spirit
Since this role involves working cross-functionally, be prepared to share examples of how you've successfully collaborated with other teams. Highlight your communication skills and how you’ve helped build a data-driven culture in previous roles. They’ll appreciate a candidate who values teamwork!
