At a Glance
- Tasks: Use AI insights to boost product sales and improve service operations.
- Company: Global retail tech firm with a focus on innovation.
- Benefits: Health coverage, employee assistance, and generous paid holidays.
- Why this job: Join a dynamic team and make a real impact with data-driven decisions.
- Qualifications: Bachelor's degree in Computer Science or related field; skills in Python and SQL.
The predicted salary is between 28800 - 48000 Β£ per year.
A global retail technology firm in the United Kingdom is seeking a Data Scientist I to support product sales and enhance service operations through AI insights. The role involves statistical analysis, data modeling, and visualization collaboration with engineers and product managers.
Ideal candidates have a Bachelor's degree in Computer Science or a related field and proficiency in Python and SQL.
This full-time position offers group health coverage, employee assistance programs, and generous paid holidays.
Data Scientist I: AI Insights for Service Operations in North East employer: External
Contact Detail:
External Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist I: AI Insights for Service Operations in North East
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, visualisations, and any AI insights you've worked on. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Practice common data science problems and be ready to discuss your thought process. We want to see how you tackle challenges!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist I: AI Insights for Service Operations in North East
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your skills in Python and SQL, as well as any relevant experience in statistical analysis and data modelling. We want to see how your background aligns with the role of Data Scientist I!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI insights and how you can enhance service operations. Be sure to mention any collaborative projects you've worked on with engineers or product managers.
Showcase Your Projects: If you've worked on any data visualisation projects or have examples of your statistical analysis, include them! We love seeing practical applications of your skills that demonstrate your ability to contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. Itβs the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at External
β¨Know Your Data
Make sure you brush up on your statistical analysis and data modelling skills. Be prepared to discuss specific projects where you've used Python and SQL to derive insights, as this will show your practical experience and understanding of the tools.
β¨Collaborate Like a Pro
Since the role involves working with engineers and product managers, think of examples where you've successfully collaborated in a team setting. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders.
β¨Visualisation is Key
Be ready to talk about your experience with data visualisation. Bring examples of how you've presented data insights in a clear and impactful way. This could be through dashboards or reports that helped drive decisions in previous roles.
β¨Ask Insightful Questions
Prepare thoughtful questions about the company's use of AI in service operations. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Itβs also a great way to demonstrate your analytical mindset.