Data Scientist

About the job

This is a leading financial institution with a strong commitment to leveraging data, advanced analytics, and AI to drive business growth and commercial performance. As part of its continued investment in data and AI capabilities, the organization is seeking to appoint an experienced Data Scientist to develop innovative solutions that enhance customer engagement, optimize revenue opportunities, and improve business decision-making.

This is an exciting opportunity to work at the intersection of business, data science, and AI, applying both traditional statistical methodologies and emerging AI technologies to deliver measurable commercial and revenue impact.

Responsibilities

You will design, develop, and deploy data science and AI solutions that drive business growth, revenue optimization, and customer engagement across the organization. Leveraging traditional statistical techniques, predictive modelling, machine learning, and Generative AI, you will identify commercial opportunities, develop actionable insights, and build scalable solutions that support business decision-making.

Working closely with business stakeholders, product managers, data engineers, and AI engineers, you will translate commercial challenges into analytical use cases across customer segmentation, propensity modelling, cross-selling, customer lifetime value, pricing, and revenue optimization. You will lead the end-to-end data science lifecycle, from problem formulation and experimentation through model development, deployment, and performance monitoring.

You will also explore opportunities to leverage Large Language Models (LLMs), Generative AI, and agentic workflows to enhance customer intelligence, automate analytical processes, and improve business productivity. A key focus will be measuring the commercial effectiveness of data science initiatives through experimentation, business KPIs, and quantifiable revenue outcomes.

Requirements

We are looking for an experienced Data Scientist with 5–10 years of experience applying statistical modelling, machine learning, and advanced analytics to solve complex business problems. You should have a proven track record of delivering data science solutions that generate measurable business, customer, or revenue impact, preferably within financial services or other commercially driven industries.

Strong expertise in Python, SQL, statistical analysis, predictive modelling, and machine learning is essential, together with practical experience in techniques such as regression, classification, customer segmentation, propensity modelling, and experimentation. Hands-on experience with modern AI technologies, including Generative AI, LLMs, Retrieval-Augmented Generation (RAG), or AI-driven analytical workflows, will be highly advantageous.

Candidates should demonstrate strong commercial acumen, with the ability to connect analytical outputs to business outcomes such as revenue growth, customer acquisition, retention, and profitability. Experience working with business and technology teams to take models beyond experimentation into production and operational adoption is important.

The ideal candidate will combine strong traditional data science fundamentals with practical AI capabilities, excellent stakeholder management skills, and the ability to translate complex analytical findings into actionable commercial strategies.

To apply

Interested candidates, please send your resume to Eliza Ng at [Confidential Information], quoting the job title. Due to the high volume of applications, only shortlisted candidates will be notified.

Licence No: 16S8060

Registration No: R1549515