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For Companies At a Glance
- Tasks: Join Matalan as a Data Scientist, optimising stock and forecasting demand.
- 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 28800 - 48000 £ 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 dont 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
Were looking for a skilled and curious Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation.
In this role, youll:
- Collect, clean, and prepare data from multiple sources to ensure quality and accuracy.
- Apply statistical and analytical techniques to uncover insights and trends.
- Build and deploy predictive models using machine learning methods.
- Visualise data through clear, engaging dashboards and presentations.
- Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects.
- Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML.
- Stay up to date with emerging tools, technologies, and best practices in data science.
- Youll measure success through model accuracy, quality of insights, project delivery, stakeholder satisfaction, and the tangible business value of your work.
About You
Youre naturally analytical, detail-oriented, and driven by curiosity – someone who enjoys uncovering stories hidden within data. You combine technical expertise with strong communication skills, making complex information accessible to a range of audiences.
Youll bring:
- A background in a numerate discipline with experience delivering data science solutions.
- Hands-on experience applying forecasting, statistical, and machine learning techniques to solve business problems.
- Strong proficiency in Python or R, plus solid SQL skills.
- Experience across the full data science project lifecycle from development to deployment and maintenance of models.
- Confidence working with cloud platforms such as AWS, GCP, or Azure.
- The ability to build credibility with stakeholders and communicate findings in a clear, concise way.
- A mindset of continuous learning and improvement.
If youre passionate about using data to drive smarter decisions and deliver real business impact, wed love to hear from you.
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
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 recent innovations in retail. Understanding their approach to stock optimisation and demand forecasting will help you tailor your discussions during interviews.
✨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 showcase your proficiency.
✨Tip Number 3
Network with current or former employees of Matalan on platforms like LinkedIn. They can provide insights into the company culture and the specific challenges faced by the Data Science team, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss your experience with AI/ML tools, particularly Google Vertex AI and Azure ML. Be ready to share examples of how you've used these technologies to solve real-world problems, as this will demonstrate your hands-on experience.
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 stock optimisation. Use specific examples that demonstrate your proficiency in SQL, R, Python, and any cloud platforms you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Matalan and how your skills align with their needs. Mention your experience with AI/ML tools and your ability to communicate complex data insights effectively to stakeholders.
Showcase Your Projects: If you have worked on relevant data science projects, summarise them in your application. Highlight your role in developing, deploying, and maintaining predictive models, and how these contributed to business value.
Prepare for Potential Questions: Anticipate questions related to your experience with the data science project lifecycle and your approach to solving complex business problems. Be ready to discuss specific techniques you've applied in forecasting and machine learning.
How to prepare for a job interview at Matalan
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, R, Python, and any cloud platforms like AWS or Azure. Bring examples of projects where you've applied these skills, especially in data science and machine learning.
✨Understand the Business Context
Familiarise yourself with Matalan's business model and how data science can impact stock placement and demand forecasting. Be ready to discuss how your work can drive innovation and optimise stock availability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to build, validate, or monitor predictive models and how those decisions affected the business outcomes.
✨Communicate Clearly with Stakeholders
Practice explaining complex data concepts in simple terms. Matalan values the ability to convert intricate analyses into concise insights, so be ready to demonstrate this skill during your interview.
