Data Scientist – Banking

About the role

Capco, a global technology and business consultancy focused on financial services, is looking for a Data Scientist to drive advanced analytics in large-scale, data-rich banking environments. The role suits an experienced analytics professional who works at the intersection of data science, business strategy and decision-making, leading complex analytics workstreams and turning high-volume data into actionable insights.

Key responsibilities

• Lead end-to-end advanced analytics initiatives delivering optimization, growth and risk insights across customer and business portfolios
• Analyse large transactional and behavioural datasets to find opportunities for commercial performance and efficiency
• Design, develop, validate and deploy statistical and machine learning models, and run segmentation, lifecycle analysis, propensity modelling and performance optimisation
• Design and evaluate experimentation frameworks such as A/B testing and control groups, and set up impact measurement and performance tracking
• Prepare, transform and structure large volumes of data, and optimise analytical code and processes for scalability
• Turn complex results into clear insights for senior stakeholders, build dashboards and reporting, and support leadership with structured storytelling
• Partner with cross-functional teams and document methodologies and reusable analytical assets

Required profile

• Degree (or higher) in Data Science, Statistics, Computer Science, Mathematics or a related quantitative field
• 5-8+ years of experience in advanced analytics, data science or quantitative strategy roles
• Strong foundation in statistical modelling, machine learning and quantitative analysis
• Solid understanding of experimental design and causal inference
• Proven ability to turn analytics into commercial and strategic recommendations, with strong stakeholder engagement
• Preferred: consulting, financial services or large data-driven organisation experience, and exposure to banking, payments, risk or customer analytics use cases

Required skills

• SQL, Python or equivalent analytics tools
• Statistical modelling and machine learning

What we offer

• Market-leading analytics programmes in financial services
• Partnership with senior clients on strategic, data-driven decisions
• A rapidly growing APAC team with career acceleration opportunities
• An inclusive, entrepreneurial, high-performance culture