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- Tasks: Harness customer data to develop machine learning models and create impactful visualisations.
- Company: Global loyalty solutions provider focused on innovation and data quality.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact by driving business outcomes through data-driven insights.
- Qualifications: Strong experience with Python, SQL, and statistical techniques.
- Other info: Exciting role in Greater London with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A global loyalty solutions provider is seeking a Data Scientist to harness customer data for strategic insights. In this role, you will develop machine learning models for customer engagement and churn prediction, and create effective visualisations to communicate results.
Ideal candidates have strong experience with Python, SQL, and a solid foundation in statistical techniques. You will work collaboratively with various teams to drive business outcomes and enhance data-driven decision-making. This exciting opportunity is set in Greater London, with a focus on innovation and data quality.
Customer Data Scientist: ML, Insights & Growth in London employer: IAG Loyalty
Contact Detail:
IAG Loyalty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Scientist: ML, Insights & Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data visualisations. This is your chance to shine and demonstrate your expertise in Python and SQL, so make it count!
✨Tip Number 3
Prepare for interviews by brushing up on your statistical techniques and problem-solving skills. We recommend practising common data science interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s 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 Customer Data Scientist: ML, Insights & Growth in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and statistical techniques in your application. We want to see how you can use these skills to drive insights and growth!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past projects and how they relate to customer engagement and churn prediction. We love a good story, but let’s keep it focused!
Visualisation Matters: Since you'll be creating visualisations, consider including examples of your work or describing how you've effectively communicated data insights in the past. Show us your flair for making data understandable!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at IAG Loyalty
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used machine learning models for customer engagement or churn prediction. Having concrete examples will show your expertise and how you can contribute to their goals.
✨Visualisation is Key
Since you'll be creating visualisations to communicate results, prepare to showcase your ability in this area. Bring along examples of your work or be ready to discuss how you approach data visualisation. This will demonstrate your capability to translate complex data into actionable insights.
✨Collaboration is Crucial
This role involves working with various teams, so highlight your experience in collaborative projects. Think of instances where you’ve worked cross-functionally and how you contributed to driving business outcomes. Showing that you can work well with others will be a big plus.
✨Stay Updated on Trends
The field of data science is always evolving, so make sure you're aware of the latest trends and innovations. Be prepared to discuss how you keep your skills sharp and how you can bring fresh ideas to the table. This shows your passion for the field and commitment to continuous learning.
