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- Tasks: Support predictive models and create personalised insights from customer data.
- Company: Major retail pharmacy in Nottingham with a focus on data science.
- Benefits: Permanent contract, competitive salary, and flexible part-time options.
- Why this job: Join a dynamic team and make a real impact on customer experiences.
- Qualifications: Strong analytical skills, proficiency in SQL and Python, and clear presentation abilities.
The predicted salary is between 36000 - 60000 £ per year.
A major retail pharmacy in Nottingham is seeking a Clinical Analyst to join its Data Science and Analytics team. This role involves supporting predictive models and utilizing customer data to create personalized insights.
The ideal candidate will possess strong analytical skills, proficiency in SQL and Python, and the ability to present complex data findings clearly.
This position offers a permanent contract, and the organization is open to part-time options. Competitive salary and benefits are provided.
Clinical Data Scientist: CRM & Personalisation in Nottingham employer: Boots UK
Contact Detail:
Boots UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Scientist: CRM & Personalisation in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the pharmacy on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. We want to see how you’ve tackled real-world problems with data – it’ll make you stand out!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about data analysis and personalisation. We can help you refine your pitch until it’s spot on.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who are eager to make an impact in data science.
We think you need these skills to ace Clinical Data Scientist: CRM & Personalisation in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with SQL and Python. We want to see how your background aligns with the role of Clinical Data Scientist, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Communication Skills: Since presenting complex data findings clearly is key for this role, make sure to demonstrate your communication skills in your application. Whether it’s through examples in your CV or your cover letter, we want to know how you can make data understandable for everyone!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy – just follow the prompts and you’ll be on your way to joining our awesome team!
How to prepare for a job interview at Boots UK
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any predictive models you've worked on. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and personalisation strategies. Practice explaining complex data findings in a simple way, as this is crucial for the role. You might even want to prepare a few examples of how you've turned data into actionable insights in previous roles.
✨Showcase Your Analytical Skills
During the interview, highlight specific instances where your analytical skills made a difference. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help the interviewers see your thought process and problem-solving abilities in action.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or how they measure the success of their predictive models. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
