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For Companies At a Glance
- Tasks: Transform complex data into actionable insights and build predictive models.
- Company: Leading retail company in England with a focus on innovation.
- Benefits: Staff discount, pension scheme, and professional development opportunities.
- Why this job: Make a real impact by turning data into insights that drive business decisions.
- Qualifications: Strong analytical skills and experience with Python, R, and cloud platforms.
- Other info: Join a dynamic team and grow your career in a thriving industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading retail company in England seeks a skilled Data Scientist to transform complex data into actionable insights. The ideal candidate has a strong analytical background and hands-on experience with machine learning and statistical techniques.
Responsibilities include:
- Collecting and preparing data
- Building predictive models
- Visualising trends
A robust understanding of Python, R, and cloud platforms like AWS or Azure is essential.
The company offers benefits such as a staff discount, a pension scheme, and various professional development opportunities.
Data Scientist: ML, Forecasting & Insight Dashboards in Knowsley employer: Matalan
Contact Detail:
Matalan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: ML, Forecasting & Insight Dashboards in Knowsley
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and predictive models. This is our chance to demonstrate how we can turn complex data into actionable insights.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and R skills. We should be ready to discuss our experience with machine learning techniques and how we've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team.
We think you need these skills to ace Data Scientist: ML, Forecasting & Insight Dashboards in Knowsley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with machine learning. We want to see how you've transformed data into insights, so be specific about your projects and the tools you used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how your background aligns with our needs. Don't forget to mention your experience with Python, R, and cloud platforms!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing real-world applications of your skills, especially in forecasting and visualisation.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Matalan
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you might be working with. Familiarise yourself with common datasets in retail and think about how you would approach transforming that data into actionable insights.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Python, R, and cloud platforms like AWS or Azure. Prepare examples of projects where you've used these tools to build predictive models or visualise trends, as this will demonstrate your hands-on expertise.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process when tackling complex data challenges, as this will highlight your ability to derive insights from data.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current data initiatives or how they envision the role of a Data Scientist evolving. This shows your genuine interest and helps you gauge if the company is the right fit for you.
