Senior Data Scientist

Role Overview

We are looking for a Senior Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders’ business requirements. In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.

What You Will Do

Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions, develop custom AI/ML models and algorithms to apply to data sets, and lead the design, prototyping, and evaluation of Agentic AI workflows.

Why It Might Be a Fit

The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders’ business requirements, and has experience working with a wide range of stakeholders and functional teams.

Requirements

• 6+ years of work experience with a bachelor’s degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
• Previous experience working with relational databases and developing advanced SQL queries is a must
• Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
• Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings
• Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
• Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
• Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
• Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations
• Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
• Experience working with business intelligence platforms: Tableau, Power BI, etc.

Benefits

• Flexible Paid Time Off of up to 23 days annually, in addition to 10 paid public holidays
• Hybrid work model with flexible in-office attendance
• Comprehensive health benefits including medical insurance (Mediclaim), personal accident insurance, and term life insurance
• Generous paid parental leave program
• Attractive employee referral bonus scheme
• Transportation allowance and night shift allowance
• Employee advance salary loan facility
• Structured professional certification reimbursement policy to support ongoing learning and development