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- Tasks: Use data analytics to enhance customer support quality and drive insights.
- Company: Dynamic recruitment agency in London with a focus on customer experience.
- Benefits: Hybrid working setup, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on customer experience through data-driven decision making.
- Qualifications: 5+ years of experience in data science with skills in Python, R, and SQL.
- Other info: Join a collaborative team dedicated to improving customer satisfaction.
The predicted salary is between 48000 - 72000 £ per year.
A recruitment agency seeks an experienced Data Scientist in London for a 12-month hybrid contract. In this role, you will employ data analytics and statistical rigor to shape frameworks that improve customer support quality.
The ideal candidate will have over 5 years of experience and proficiency in Python, R, and SQL, alongside strong collaboration skills.
Join a dynamic team focused on enhancing customer experience through data-driven insights, while enjoying a hybrid working setup.
Senior Data Scientist - CSAT & Quality Analytics (Hybrid) in City of London employer: Mackin Talent
Contact Detail:
Mackin Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - CSAT & Quality Analytics (Hybrid) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in customer support analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects in Python, R, and SQL. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on how your experience aligns with improving customer support quality through data-driven insights.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles tailored to your skills.
We think you need these skills to ace Senior Data Scientist - CSAT & Quality Analytics (Hybrid) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and your proficiency in Python, R, and SQL. We want to see how your skills align with the role, 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 improving customer support quality through data. We love seeing candidates who can connect their experience to our mission at StudySmarter.
Showcase Collaboration Skills: Since this role involves working with a dynamic team, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve contributed to group success!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application 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 Mackin Talent
✨Know Your Data Tools
Make sure you brush up on your Python, R, and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or improve processes. This will show that you not only have the technical know-how but also practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working within a dynamic team, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight any cross-functional teamwork that led to improved customer support quality or enhanced data analytics.
✨Understand Customer Support Metrics
Familiarise yourself with key customer support metrics and how they relate to quality analytics. Being able to discuss frameworks you've developed or contributed to that improved customer satisfaction will set you apart as a candidate who understands the bigger picture.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview about the company's approach to data-driven decision-making and how they measure success in customer support. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
