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- Tasks: Design and implement machine learning models to predict churn risk and drive business insights.
- Company: Leading recruitment platform focused on data-driven solutions.
- Benefits: Comprehensive benefits package and opportunities for professional growth.
- Why this job: Make a real impact by leveraging your data expertise in a remote role.
- Qualifications: 5+ years in data science, proficient in Python and SQL, strong problem-solving skills.
- Other info: Join a dynamic team dedicated to innovative data solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment platform is seeking a Remote Data Engineer/Scientist to leverage data expertise for business outcomes. This role involves designing and implementing machine learning models to predict churn risk and generate actionable insights.
Candidates should have at least 5 years of experience in data science, proficiency in Python and SQL, and strong problem-solving skills. Applicants will enjoy comprehensive benefits and opportunities for professional growth.
Remote Data Engineer & Scientist — Predictive ML for Churn employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer & Scientist — Predictive ML for Churn
✨Tip Number 1
Network like a pro! Reach out to fellow data enthusiasts on LinkedIn or join relevant online communities. We can’t stress enough how valuable connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and predictive models. This is your chance to demonstrate your expertise in Python and SQL, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your problem-solving approach. We recommend practising with friends or using mock interview platforms to boost your 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 Remote Data Engineer & Scientist — Predictive ML for Churn
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role of a Data Engineer/Scientist, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about predictive ML and how your background makes you a perfect fit for predicting churn risk. Let us know what excites you about this opportunity!
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using data. We love seeing how you approach challenges, especially in the context of machine learning and data analysis.
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 this exciting role. Plus, it’s super easy!
How to prepare for a job interview at Jobgether
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the data science projects you've worked on. Be ready to discuss specific machine learning models you've implemented, especially those related to churn prediction. This will show your depth of knowledge and experience.
✨Brush Up on Python and SQL
Since proficiency in Python and SQL is crucial for this role, take some time to review key concepts and common functions. You might be asked to solve a problem or write a query during the interview, so practice coding challenges to keep your skills sharp.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples where you’ve tackled complex data issues or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Show Enthusiasm for Predictive ML
Demonstrate your passion for predictive machine learning and its impact on business outcomes. Share insights on recent trends in churn prediction and how they can benefit the company. This will highlight your proactive approach and genuine interest in the field.
