Key Responsibilities:

• Collaborate with multiple business units to understand their challenges and goals.

• Translate business goals into technical requirements and actionable insights

• Develop, implement, and maintain data-driven solutions and systems

• Oversee and manage multiple data science projects, ensuring they meet the business objectives and are delivered on time.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree or higher preferred.

• Minimum of 8 years experience in data science or a related role.

• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.

• Previous work in credit risk modelling/fraud detection.

• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).

• Proficient in data manipulation and analysis using SQL.

• Experience with Cloud-based tech stack and Docker. GCP will be preferred.

• Proven experience in managing data projects from inception to completion.

• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

• Proactive, self-motivated, and able to work independently.

Good to Have

• Experience in deep learning frameworks like PyTorch or TensorFlow.

Experience in leading and mentoring teams.