Are you a fresh graduate or an experienced data professional looking to jumpstart your career in data science? Revolut, a top player in the FinTech industry, is on the lookout for dynamic Data Scientists to join their team! This opportunity allows you to work from home, with an impressive monthly salary of Rs. 72,000. If you’re passionate about data science and want to make a real impact, this could be the role for you.
Let’s break down the details of this exciting offer.
About Revolut
Since its founding in 2015, Revolut has been on a mission to transform financial services, offering customers more control and freedom over their finances. With over 45 million users globally, Revolut provides tools for spending, saving, investing, and more, aiming to help people get more from their money. Recognized as a “Great Place to Work™,” Revolut has over 10,000 team members working worldwide. They’re growing quickly, and they’re looking for bright individuals to join their mission-driven team.
Job Role: Data Scientist
This Data Scientist role at Revolut offers a chance to work on impactful, data-driven projects alongside some of the best minds in product, design, data science, and engineering. Revolut’s data team isn’t hidden behind the scenes; they work directly with product teams to create innovative, customer-centered solutions. The team uses deep data analysis, machine learning, and advanced algorithms to deliver high-impact solutions that evolve as they learn.
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Job Details:
- Position: Data Scientist
- Company: Revolut
- Location: Remote (Work from Home)
- Salary: Rs. 72,000 per month
- Experience Required: Freshers/Experienced
- Qualification: Bachelor’s Degree (STEM background preferred)
Key Responsibilities:
In this role, you’ll be involved in:
- Impactful Solutions: Creating data-driven solutions with direct impact on the product.
- Model Building: Developing models for the full Retail Credit lifecycle.
- Complex Problem Solving: Collaborating with engineers, data scientists, and product owners to solve challenging data problems.
- Algorithm Improvement: Enhancing existing algorithms and building new Proof of Concepts (PoCs).
- Data Analysis: Conducting deep data analysis to research and deliver PoCs that transform into data products.
Skills Required:
Here’s what Revolut is looking for:
- Data Science Tools: Strong knowledge of tools like Python, SQL, and other production tools.
- Educational Background: Bachelor’s, Master’s, or Ph.D. in STEM fields like Mathematics, Computer Science, or Engineering.
- Analytical Mindset: A broad perspective to diagnose issues, conduct research, and find effective solutions.
- Team Collaboration: Excellent communication skills and the ability to work well with Product Owners and business heads.
- Probability & Statistics: A deep understanding of probability and statistical analysis.
Why Join Revolut?
- Career Growth: Join a FinTech leader known for rapid growth and career progression.
- Work From Home Flexibility: Enjoy the freedom of working from home with a competitive salary.
- Learning Opportunities: Work with a talented team on complex, real-world data problems.
- Diversity and Inclusion: Revolut is committed to building a diverse team and encourages applicants from all backgrounds.
How to Apply?
Interested in becoming a part of the Revolut team? Follow these steps:
- Click on the “Apply here“ link.
- Register/Sign in: If you’re a new user, create an account. If not, simply log in.
- Complete the Application Form: Fill in your personal, academic, and professional details.
- Upload Documents: Make sure to include your resume and any necessary documents.
- Submit Your Application: Double-check the details and submit your application.
Start your journey with Revolut, a company that values innovation and delivers real-world impact!
Top 10 Interview Questions for Revolut’s Data Scientist Position
Here are some questions that could come up in your interview, along with brief tips on how to answer:
- Can you explain your experience with data science tools like Python and SQL?
Answer Tip: Discuss your comfort with these tools, any projects you’ve used them for, and how they’ve helped you solve data problems. - How would you approach building models for the Retail Credit lifecycle?
Answer Tip: Talk about the steps you’d take, such as data collection, cleaning, model building, and testing. - Describe a challenging data problem you’ve faced and how you solved it.
Answer Tip: Explain the problem, your approach to solving it, and the final outcome. - What is your experience with probability and statistics in data science?
Answer Tip: Share examples of where you’ve applied statistical analysis, especially in data-driven decisions. - How do you ensure the quality and accuracy of your data models?
Answer Tip: Mention any quality assurance techniques you use, such as testing or cross-validation. - How would you improve an existing algorithm?
Answer Tip: Talk about assessing the algorithm’s current performance, identifying weaknesses, and implementing potential improvements. - What approach would you take to present complex data insights to a non-technical audience?
Answer Tip: Explain your approach, emphasizing simplicity, visualization, and clear explanations. - How do you stay updated with advancements in data science and machine learning?
Answer Tip: Share resources, courses, or communities you follow to keep your skills sharp. - How do you handle multiple tasks and prioritize them?
Answer Tip: Describe your time management skills and how you prioritize based on urgency and importance. - What excites you about working at Revolut?
Answer Tip: Share your enthusiasm for Revolut’s mission, the innovative work culture, and your passion for FinTech.
This position at Revolut is a unique opportunity to kickstart your data science career while working remotely for a global FinTech company. Apply soon to make the most of this chance!