At a Glance
- Tasks: Analyse data to drive revenue and insights for a leading beauty brand.
- Company: Join ghd, an iconic British brand revolutionising hair styling tools.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on creativity, courage, and commitment.
- Why this job: Make a real impact by transforming data into actionable business strategies.
- Qualifications: Advanced degree in Maths or Statistics and programming skills in Python or R.
The predicted salary is between 50000 - 70000 £ per year.
WHO ARE WE?
Iconic British brand ghd is a global leader in high end professional hair styling tools and the UK’s number one recommended styling brand.
Loved by stylists and consumers, loved by press, and loved by the people that work for the brand!
Merging science and innovation, with luxury beauty and style; ghd combines cutting edge technologies and beautiful designs to create the most technically advanced hair tools in the world. ghd tools deliver “safer for hair” heat styling that have become an essential part of the daily lives of professional hair stylists and consumers globally.
Renowned for game changing innovation and superior performance, at ghd we are on a mission to transform lives with the power of a good hair day!
ABOUT THIS ROLE
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 ecommerce 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 ecommerce 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
- VALUES
We at ghd are proudly committed to our Company Values and aim to attract and retain employees who live our Values.
- Collaborative – We work together to create the extraordinary
- Creative – We foster creativity & excellence to create value for our brands and business
- Courageous – We are agile, entrepreneurial & we own our future
- Connected – We stay connected and ensure we are always consumer first
- Committed – We are responsible for our impact on other & the planet
Important notice to Employment businesses/ Agencies ghd does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. ghd shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Global Ecommerce Data Scientist in Leeds employer: good hair day
At ghd, we pride ourselves on being an iconic British brand that not only leads the market in high-end professional hair styling tools but also fosters a vibrant and inclusive work culture. Our Leeds office offers a hybrid working model, allowing for flexibility while collaborating with a passionate team dedicated to innovation and excellence. With a strong commitment to employee growth, we provide opportunities for skill development in data science and marketing, making ghd an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Global Ecommerce Data Scientist in Leeds
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like good hair day.
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We think you need these skills to ace Global Ecommerce Data Scientist in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at good hair day, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at good hair day. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at good hair day
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at good hair day!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
