At a Glance
- Tasks: Transform data into insights that drive e-commerce success and support strategic decisions.
- Company: Join a forward-thinking company in Leeds with a hybrid work model.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Dive into data science and make a real impact on e-commerce strategies.
- Qualifications: Advanced degree in Maths, Statistics, or Economics; programming skills in Python or R.
The predicted salary is between 40000 - 50000 € per year.
This exciting new role will give you the opportunity to apply your maths and statistics knowledge to turn data into revenue‑driving analysis and insights. As a Data Scientist, you'll use your mathematical and statistical foundation to analyse customer behaviour, campaign performance, and e‑commerce metrics. While prior marketing experience isn’t required, you’ll have the opportunity to develop deep expertise in customer and digital marketing measurement. The ideal candidate will have a quantitative degree, solid statistical knowledge, and a genuine curiosity for uncovering insights from complex datasets.
Location: This role will be based in our Leeds office, and we offer a hybrid working pattern of 3 days in the office and 2 days WFH.
Job Role and Responsibilities:
- Support the development of statistical models, optimisation frameworks, and analytical methodologies to help drive e‑commerce business objectives and strategic decision‑making.
- Contribute to analytical projects across diverse business areas including optimisation models for pricing and promotional strategy, time series forecasting for demand and revenue prediction, marketing mix modelling (MMM) for marketing effectiveness measurement, and regression analysis for understanding customer behaviour and market dynamics.
- Support A/B testing and experimentation initiatives, assisting with experimental design and conducting statistical analysis to inform business decisions.
- Apply machine learning techniques for forecasting, clustering, and predictive analytics, learning to use appropriate validation techniques and hyperparameter tuning to ensure model quality.
- Use quantitative methods to help solve business problems by building analytical models and applying appropriate statistical and econometric techniques tailored to specific business contexts.
- Collaborate closely with team members on analytical projects, contributing to the development of statistical approaches and best practices using Python, R, SQL, and version control workflows.
- Help build and maintain data pipelines and ETL processes that support robust data infrastructure for analytics and modelling.
- Communicate findings to stakeholders by translating quantitative analyses into clear, actionable recommendations through data visualisations and presentations.
Requirements:
- Advanced Degree in Mathematics, Statistics, Economics, or related field
- Strong statistical knowledge and hypothesis testing experience
- Programming skills in Python or R
- Excellent problem‑solving abilities
Global Ecommerce Data Scientist in Leeds employer: GHD
Join a forward-thinking company in Leeds that values innovation and analytical excellence, offering a hybrid working model that promotes work-life balance. As a Global Ecommerce Data Scientist, you'll benefit from a collaborative work culture that encourages professional growth through hands-on experience with cutting-edge statistical methodologies and machine learning techniques. With a commitment to employee development and a focus on impactful data-driven insights, this role provides a unique opportunity to shape the future of e-commerce while enjoying the vibrant atmosphere of Leeds.
StudySmarter Expert Advice🤫
We think this is how you could land Global Ecommerce Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving statistical models or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your analytical approach and how you've used data to drive decisions in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to stay updated on new opportunities that match your skills.
We think you need these skills to ace Global Ecommerce Data Scientist in Leeds
Some tips for your application 🫡
Show Off Your Stats Skills:Make sure to highlight your mathematical and statistical knowledge in your application. We want to see how you can turn complex data into actionable insights, so don’t hold back on showcasing your analytical prowess!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific experiences or projects that relate to e-commerce metrics or customer behaviour analysis. We love seeing how your background aligns with what we do!
Be Curious!:Let your genuine curiosity shine through in your application. We’re looking for someone who’s eager to uncover insights from data, so share examples of how you've explored datasets or solved problems in the past.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at GHD
✨Brush Up on Your Stats
Make sure you’re comfortable discussing statistical concepts and methodologies. Be ready to explain how you would apply these in real-world scenarios, especially in e-commerce contexts. Practising common statistical problems can help you articulate your thought process during the interview.
✨Showcase Your Programming Skills
Since programming in Python or R is crucial for this role, prepare to discuss your experience with these languages. Bring examples of projects where you've used them to analyse data or build models. If possible, demonstrate your coding skills through a small exercise or by discussing your approach to a specific problem.
✨Prepare for Case Studies
Expect to tackle case studies or practical problems during the interview. Practice breaking down complex datasets and explaining your analytical approach. This will not only showcase your problem-solving abilities but also your ability to communicate insights clearly, which is key for this role.
✨Know the Business
Familiarise yourself with the company’s e-commerce strategies and recent campaigns. Understanding their market position and customer behaviour will allow you to tailor your answers and show genuine interest in how you can contribute to their objectives. It’s all about connecting your skills to their needs!
