Senior Data Scientist

Position Overview: We are seeking an experienced Senior Data Scientist to lead and drive some of our engagements for some of the largest financial institutions in the region. The ideal candidate will have strong hands-on experience across the entire modelling lifecycle. You will be responsible for designing, developing, and deploying cutting-edge machine learning models and AI Agents that deliver real business impact for banks, non-banking lenders and insurance companies.

Key Responsibilities:
• Data Science Expertise: Apply a deep understanding of both conventional machine learning and deep learning techniques to develop robust explainable models that meet business requirements.

• End-to-End Model Lifecycle Management: Oversee and actively participate in every phase of the data science process, including requirements gathering, exploratory data analysis (EDA), target variable selection, feature engineering, model building, model selection, validation, deployment, documentation, and ongoing monitoring.

• Cloud-Native Development: Leverage your extensive experience with cloud platforms (Azure, GCP, or AWS) to design scalable and efficient data science solutions.

• Technical Leadership: Mentor and guide junior data scientists, providing technical direction and support to ensure high-quality output and adherence to best practices.

• Collaboration: Work closely with cross-functional teams, including data engineering, product management, and software development, to integrate data science solutions into production systems.

Skills & Qualifications:
• Experience: Minimum of 4 years in data science, with at least 3 years in an individual contributor role.

• Technical Skills: Proficiency in Python, with strong expertise in classification and regression techniques, deep learning, and deployment frameworks such as FastAPI. Profiency working with LangChain/ LangGraph /Crewai are a plus.

• Deployment and Operations: Experience with containerization technologies like Docker and deep-familiarity with Linux environments.

• Problem-Solving: Strong analytical and problem-solving skills, with the ability to translate complex business problems into data science solutions.

What We Offer:
• Innovative Environment: Be part of a dynamic team that values creativity and encourages the exploration of new ideas.

• Growth Opportunities: Engage in continuous learning and professional development opportunities to stay at the forefront of data science advancements.

• Impactful Work: Contribute to projects that make a tangible difference to our business and customers.

If you're passionate about data science and ready to take on a leadership role in a forward-thinking company, we’d love to hear from you.