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For Companies At a Glance
- Tasks: Design and execute experimentation frameworks for logistics and operational initiatives.
- Company: Leading eCommerce business focused on high-impact experimentation.
- Benefits: Competitive contract rates, dynamic work environment, and opportunity to make a real impact.
- Why this job: Join a fast-paced team and drive significant improvements in logistics and operations.
- Qualifications: Advanced SQL, strong Python skills, and experience in experimentation frameworks.
- Other info: Ideal for independent thinkers who thrive under tight timelines and enjoy collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We are supporting a leading eCommerce business in the search for a Senior Experimentation Data Scientist to deliver high-impact experimentation across logistics and operational initiatives. This role is explicitly not product-focused and will centre on experimentation relating to promotions, operational efficiency, and logistics performance. This is a fast-moving engagement with tight timelines, requiring someone who can hit the ground running and operate autonomously within a squad-based delivery model.
Key Responsibilities
- Design and execute experimentation frameworks focused on logistics and operational use cases
- Lead A/B testing and controlled experiments to evaluate promotional and operational changes
- Ensure analytical robustness through sense-checking data, assumptions, and outputs
- Work closely with engineers, analysts, and operational stakeholders within a squad environment
- Translate experimental outcomes into clear, actionable recommendations for the business
- Operate independently while maintaining strong collaboration across technical teams
Technical Requirements
- Advanced SQL (including joins, validation logic, and data interrogation)
- Strong Python for analysis and experimentation workflows
- Experience working with Google BigQuery or comparable cloud data platforms
Experimentation Expertise
- Proven experience designing and building experimentation frameworks
- Strong grounding in experimental design, statistical validity, and bias mitigation
- Confident explaining experimental approaches verbally, not just via documentation
Ideal Contractor Profile
- Senior-level experimentation data scientist with strong commercial awareness
- Comfortable working at pace in short, delivery-focused contracts
- Able to work independently with minimal oversight
- Confident partnering with highly technical teams
- Well-prepared, pragmatic, and delivery-oriented
- Comfortable operating within tight timelines and changing priorities
Desired Skills and Experience
- Advanced SQL (joins, validation, optimisation)
- Python for Data Analysis
- Google BigQuery
- Statistical Analysis & Inference
- Data Quality & Sense Checking
- Operational & Logistics Analytics
- Stakeholder Management
- Agile / Squad-Based Delivery
Experience
- Senior-level experimentation data scientist within eCommerce or operational environments
- Designing and building experimentation frameworks end to end
- Delivering logistics or operations-focused experiments (non-product)
- Working independently on short, high-impact contracts
- Partnering with highly technical teams under tight timelines
How to Apply
If you have experience building experimentation frameworks and thrive in dynamic, high-visibility roles, we’d love to hear from you. Apply now by sending your CV and availability to Atif Ahmad.
Data Scientist – Experimentation Framework in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Experimentation Framework in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the eCommerce and data science fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation frameworks and A/B testing projects. Use platforms like GitHub to share your code and analyses. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your past projects in detail, especially how you’ve tackled operational challenges. Practice explaining your experimental designs clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are passionate about experimentation and data-driven decision-making.
We think you need these skills to ace Data Scientist – Experimentation Framework in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with experimentation frameworks and A/B testing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Technical Skills: Since this role requires advanced SQL and Python skills, include specific examples of how you've used these tools in past projects. We love seeing practical applications of your technical know-how!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Experimentation Frameworks
Make sure you brush up on your knowledge of experimentation frameworks, especially those related to logistics and operational use cases. Be ready to discuss how you've designed and executed these frameworks in the past, as this will show your expertise and relevance to the role.
✨Show Off Your Technical Skills
Since advanced SQL and Python are key for this position, prepare to demonstrate your skills. You might be asked to solve a problem or explain your thought process while working with data. Practising some common SQL queries and Python scripts can really help you shine.
✨Prepare for A/B Testing Questions
Expect questions about A/B testing and controlled experiments. Be ready to explain your approach to designing these tests, how you ensure statistical validity, and how you mitigate bias. Real-life examples will make your answers more compelling!
✨Emphasise Collaboration and Independence
This role requires both independent work and collaboration within a squad. Prepare to share examples of how you've successfully worked autonomously while also partnering with technical teams. Highlighting your ability to balance these aspects will set you apart.
