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- Tasks: Build machine learning models for loan eligibility and pricing strategies.
- Company: M-KOPA, a leader in digital and financial inclusion across Africa.
- Benefits: Flexible remote work, supportive environment, and a focus on diversity.
- Other info: Join a small team with end-to-end project ownership and excellent growth opportunities.
- Why this job: Make a real impact on millions of customers while working with cutting-edge technology.
- Qualifications: Strong machine learning skills, experience in predictive modeling, proficient in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
M-KOPA is seeking a Senior Data Scientist to join our Credit & Underwriting team. This fully remote role involves building machine learning models that shape loan eligibility and pricing strategies across five African markets. You'll work in a small team with end-to-end project ownership, driving digital and financial inclusion for millions of customers.
The ideal candidate has strong machine learning skills, experience in predictive modeling, and is proficient in Python and SQL. We offer a flexible, supportive work environment that values diversity and innovation.
Remote Senior Data Scientist - Credit Scoring & Pricing in Newcastle upon Tyne employer: M Kopa
Contact Detail:
M Kopa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Data Scientist - Credit Scoring & Pricing in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at M-KOPA or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to credit scoring or pricing strategies. This will demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how they relate to the job. We want to see your thought process and problem-solving abilities!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at M-KOPA.
We think you need these skills to ace Remote Senior Data Scientist - Credit Scoring & Pricing in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your machine learning expertise and experience with predictive modelling in your application. We want to see how your skills can contribute to shaping loan eligibility and pricing strategies!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Scientist role. Mention your proficiency in Python and SQL, and how you've used these tools in past projects.
Share Your Impact: We love seeing how you’ve made a difference in previous roles. Include examples of how your work has driven digital and financial inclusion or improved processes. This helps us understand the value you can bring to our team!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at M Kopa
✨Know Your Machine Learning Models
Make sure you brush up on your machine learning knowledge, especially around predictive modelling. Be ready to discuss specific models you've built in the past and how they impacted loan eligibility or pricing strategies.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and analysis.
✨Understand the Market Context
Familiarise yourself with the African markets M-KOPA operates in. Understanding the unique financial challenges and opportunities in these regions will show your commitment and help you tailor your answers to their needs.
✨Emphasise Team Collaboration
Since you'll be working in a small team, highlight your experience with end-to-end project ownership and collaboration. Share examples of how you've successfully worked with others to drive projects forward, especially in a remote setting.