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- Tasks: Join Matalan as a Data Scientist, optimising stock availability and demand forecasting.
- Company: Matalan is a dynamic retail company focused on innovation and inclusivity.
- Benefits: Enjoy a 20% staff discount, wellbeing support, and career development opportunities.
- Why this job: Be part of a collaborative culture that values creativity and personal growth.
- Qualifications: Experience in data science, SQL, and programming languages like Python or R required.
- Other info: Apply early as the position may close if we receive many applications.
The predicted salary is between 36000 - 60000 £ per year.
About Matalan
From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here.
We know as a team, we are stronger together – we champion equality for all and make lasting connections that go beyond work. We thrive off our inclusive culture, encouraging our colleagues to bring their true selves to work and contributing to collective creativity, open-mindedness and growth.
We want give every candidate the opportunity to perform at their best throughout the application and interview process and then ultimately in their role. If you require any adjustments during our recruitment process, please don\’t hesitate to let us know.
In the event that a high volume of suitable applications are received, the post may close prior to the specified closing date. Please apply as soon as possible if interested.
About the role
We are looking for a Data Scientist to join Matalan.
Key Responsibilities –
- Working with the Merchandising & Stock Placement teams on a range of projects to optimise the stock availability and demand forecasting accuracy
- Driving innovation with the forecasting engine with a focus on delivering stock optimisation
- Developing existing AI/ML tools including Google Vertex AI and Azure ML
- Building models to answer complex business questions and to proactively inform stock placement strategy and direction.
- Build, validate and monitor predictive models to grow business confidence.
- Cultivating relationships cross functionally with stakeholders across Matalan including stock placement and supply chain.
About You
- Experience in a numerate subject with work experience delivering data science solutions.
- Experience in customer demand forecasting, including product, promotions and supply chain
- Experience of applying a range of forecasting, data science and machine learning techniques to deliver business value.
- Proficiency in SQL and R, Python, or a similar programming language
- Experience with the data science project lifecycle: developing, deploying and maintaining production models
- Credibility with stakeholders at all levels of the business, able to expertly convert complex data and analysis into concise and easy to understand presentations and insights.
- Experience with a major cloud platform (e.g. AWS, GCP, Azure)
Desirable –
- Experience delivering data science projects in retail and/or supply chain forecasting would be advantageous
- Experience in customer demand forecasting, including product, promotions and supply chain
- Experience of applying a range of forecasting, data science and machine learning techniques to deliver business value.
Benefits
In addition to competitive salaries, we also offer the below core benefits:
- 20% staff discount, which increases with length of service
- Thrive Recognition Scheme
- Wellbeing support provided by the Retail Trust
- Life Assurance
- Retail Rewards platform offering discounts for other retailers
- Pension Scheme
- Access to a wide range of career development
- Additional benefits may apply depending on your role and area of the business
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Data Scientist employer: Matalan
Contact Detail:
Matalan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with Matalan's business model and values. Understanding their focus on stock optimisation and demand forecasting will help you tailor your discussions during interviews, showcasing how your skills align with their goals.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data science to demonstrate your proficiency in these languages.
✨Tip Number 3
Network with current or former employees of Matalan on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss specific examples of how you've applied machine learning techniques in previous roles. Being able to articulate your experience with AI/ML tools will demonstrate your capability to contribute to Matalan's innovative projects.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in customer demand forecasting and machine learning techniques. Use specific examples that demonstrate your skills in SQL, R, or Python.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of Matalan's values and culture. Emphasise your ability to work collaboratively and how your background aligns with the role's responsibilities, especially in stock optimisation and predictive modelling.
Showcase Your Technical Skills: In your application, clearly outline your proficiency with cloud platforms like AWS, GCP, or Azure. Mention any experience you have with AI/ML tools and how you've applied them in previous roles to deliver business value.
Prepare for Potential Interviews: Anticipate questions related to your experience with the data science project lifecycle and your ability to communicate complex data insights. Be ready to discuss specific projects where you've successfully implemented forecasting models.
How to prepare for a job interview at Matalan
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in SQL, R, Python, and machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work or code to share during the interview.
✨Understand Matalan's Business Model
Familiarise yourself with Matalan's operations, especially in merchandising and stock placement. Understanding their approach to demand forecasting and stock optimisation will help you tailor your responses and show that you're genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you would handle real-world data challenges. Think about past experiences where you've built predictive models or improved processes, and be ready to explain your thought process and the impact of your work.
✨Emphasise Collaboration and Communication
Matalan values teamwork and cross-functional relationships. Be sure to highlight your experience working with stakeholders from different departments, and how you've effectively communicated complex data insights in an understandable way. This will demonstrate your ability to fit into their inclusive culture.
