Senior Associate, Specialist, Data Scientist

Responsibilities 

• Manage complex, high-impact data science and AI initiatives end to end, from problem framing and requirements discovery through data exploration, model development, deployment, monitoring, and continuous improvement. 

• Partner with business, technology and governance stakeholders to deliver AI solutions to agreed scope, budget, timelines, and measurable business outcomes. 

• Define and implement robust model governance - evaluation, monitoring, and responsible AI controls - for production-grade AI and machine learning solutions. 

• Promote strong standards for data science and AI project development and a spirit of continuous learning in the team. 

Requirements 

• Advanced degree in a quantitative field, such as Computer Science, Statistics, or Applied Mathematics. 

• 3 to 8 years of experience in data science, machine learning, and AI, with a proven track record of developing enterprise-scale, production-grade data science / machine learning / AI initiatives as a key individual contributor. 

• Proficient in Python, SQL, PySpark, and data science frameworks such as Pandas and scikit-learn. 

• Proficient in data visualization tools such as Matplotlib and Plotly, with the ability to derive actionable insights from data. 

• Hands-on experience with LLMs, prompt engineering, RAG, agentic AI frameworks such as LangChain or LangGraph, and evaluation approaches. 

• Experience developing agentic applications on platforms such as Dify or Google Vertex AI. 

• Experience in creating and using synthetic data for development and validation purposes. 

• Strong engineering practices, including version control with Git, writing clean and maintainable code, performing code review. 

• Good documentation habits, with an openness to learning and sharing. 

• Strong understanding of agile software development methodologies, with experience using tools like Jira and Confluence. 

• Strong ability to understand a business process and deliver value through a bespoke AI / ML solution. 

• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights. 

Good to have 

• Experience with the GCP ecosystem of tools, e.g., BigQuery for querying and manipulating datasets, Vertex AI for ML and agentic AI workflows. 

• Hands-on experience in deploying and monitoring machine learning and AI models in production environments. 

• Experience with CI/CD, and containerisation practices. 

• Experience working in financial / regulated industries, with an appreciation for model risk governance and responsible AI principles. 

Apply Now 

We offer a competitive salary and benefits package commensurate with your experience and the professional advantages of a dynamic environment. 

We regret that only shortlisted candidates will be notified.