Senior Data Scientist

About The Company
A leading fintech company, driving financial inclusion through technology, data, and innovation. The company leverages advanced analytics and machine learning to deliver responsible credit and digital financial solutions, serving millions of users across multiple markets with a strong data-driven and growth-oriented culture.

Job Responsibilities

• Collaborate within a cross-country, multi-disciplinary data science team to design and deploy advanced predictive models.
• Take ownership from concept to production — developing, testing, and optimizing machine learning models across multiple business domains.
• Conduct research and experimentation to continuously enhance model performance and scalability, leveraging large-scale and diverse datasets.
• Partner closely with engineering and business teams to translate data insights into impactful, measurable outcomes.
• Contribute to advancing the overall data science practice within the organization through innovation and best practices.

Key Requirements

• 4–6 years of hands-on experience in developing and implementing machine learning or statistical models.
• Proven track record in credit risk modelling or other risk-related predictive modelling (minimum 3–4 years).
• Proficient in Python or R, with solid grounding in statistics and mathematics.
• Familiarity with both relational (e.g., MySQL, PostgreSQL) and NoSQL environments (e.g., S3 or similar).
• Strong communication skills, self-driven, and able to work independently within a dynamic environment.
• (Preferred) Experience leveraging alternative data sources, or building deep learning / NLP-based predictive models.

Call for Action
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected]