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For Companies At a Glance
- Tasks: Analyse customer data and develop predictive models to drive business growth.
- Company: Leading loyalty program provider in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Make a real impact by using data science to influence customer growth strategies.
- Qualifications: Hands-on machine learning experience, proficiency in Python and SQL.
- Other info: Join a dynamic team and thrive in a fast-paced business environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading loyalty program provider in Greater London seeks a Data Scientist with hands-on machine learning experience to analyze customer data and drive business impact. The right candidate will develop and evaluate predictive models, create compelling visualizations, and collaborate with various teams to ensure high-quality data-driven decisions.
A proactive and curious mindset is essential, alongside competencies in Python and SQL. This is an exciting opportunity to apply data science in a dynamic business environment.
Data Scientist — Predictive ML for Customer Growth in London employer: IAG Loyalty
Contact Detail:
IAG Loyalty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Predictive ML for Customer Growth in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with industry professionals on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and visualisations. We want to see how you’ve used Python and SQL to drive results, so make it easy for them to see your impact.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your machine learning concepts and coding skills. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist — Predictive ML for Customer Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on machine learning experience and any relevant projects. We want to see how your skills in Python and SQL can drive business impact, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your proactive mindset and curiosity. Tell us why you’re excited about the role and how you can contribute to our team.
Showcase Your Data Visualisation Skills: Since creating compelling visualisations is key for this role, include examples of your work. Whether it's through links or attachments, we want to see how you can turn data into insights!
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 ML Models
Brush up on your machine learning models and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain the reasoning behind your choices and how they impacted customer growth.
✨Showcase Your Visualisation Skills
Prepare a portfolio of visualisations that demonstrate your ability to present data insights clearly. During the interview, you might be asked to walk through your thought process on creating these visuals and how they influenced decision-making.
✨Collaborate Like a Pro
Since collaboration is key, think of examples where you've worked with cross-functional teams. Be ready to discuss how you communicated complex data findings to non-technical stakeholders and the impact it had on their decisions.
✨Get Comfortable with Python and SQL
Make sure you're confident in your Python and SQL skills. You might face technical questions or even a coding challenge, so practice common data manipulation tasks and be ready to showcase your problem-solving abilities on the spot.
