At a Glance
- Tasks: Transform data into powerful insights for a thriving eCommerce business.
- Company: Join Lands’ End, a global retailer with a welcoming culture.
- Benefits: Enjoy hybrid working, gym access, employee discounts, and more.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by driving data-driven decisions across Europe.
- Qualifications: Experience in Data Science and strong programming skills required.
The predicted salary is between 40000 - 50000 £ 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, e‑commerce, 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
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 have the opportunity to make a significant impact across multiple markets while enjoying a hybrid working model, comprehensive benefits, and a commitment to employee growth and development. Join us to turn data into powerful business outcomes in a supportive environment that prioritises your well-being and professional advancement.
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, especially those already working at Lands’ End. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those that had a real business impact. This will help us see how you can translate complex data into actionable insights.
✨Tip Number 3
Practice your pitch! Be ready to explain your past experiences and how they relate to the role. We want to hear how you've tackled ambiguous problems and delivered measurable outcomes in your previous roles.
✨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 that you’re not just skilled, but genuinely excited about turning data into actionable insights.
Tailor Your Application:Make sure to customise your application for the Data Scientist role. Highlight your experience with advanced analytics and any relevant projects you've worked on. We appreciate when candidates take the time to connect their skills with what we’re looking for at Lands’ End.
Be Clear and Concise:While we love detail, clarity is key! Use straightforward language to explain your technical skills and experiences. Avoid jargon where possible, and focus on how your work has made a measurable impact. This will help us understand your thought process better.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Lands' End
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, R, and SQL. Be ready to discuss your experience with predictive models and how you've applied them in a commercial setting. Prepare examples that showcase your ability to turn complex data into actionable insights.
✨Understand the Business Impact
It's crucial to link your analytical work to real business outcomes. Think about how your previous projects have driven customer engagement or revenue. Be prepared to explain how your data-driven decisions have positively impacted the bottom line.
✨Communicate Clearly
You’ll need to explain complex concepts to stakeholders who may not have a technical background. Practice simplifying your explanations and using visuals if necessary. Show that you can translate data findings into clear recommendations that drive decision-making.
✨Show Your Collaborative Spirit
This role involves working across various teams, so highlight your experience in cross-functional collaboration. Share examples of how you've partnered with marketing, trading, or digital teams to achieve common goals. Emphasise your enthusiasm for building a data-driven culture within the organisation.
