Associate Vice President - Data Science

The AVP – Data Science will lead the development of AI/ML solutions that drive data‑driven decision‑making across customer engagement, marketing, retention, risk, and product functions. The role requires strong analytical expertise, hands‑on experience with open‑source technologies, and the ability to build interactive applications and deploy models in both batch and real‑time environments. The candidate will ensure high‑quality delivery, effective stakeholder communication, and adherence to best practices for reproducible, scalable data science.
What You Will Do

• Work with Data Science team to translate given business problem into analytical use-cases with defined outcomes to develop, implement and test most appropriate algorithms for a given use-case.
• Work closely with Business Analyst for requirement gathering/understanding and work with Data Engineers to build data pipelines and automate/production Alize complex ML models to insights and recommendations.
• Strong conceptual understanding of machine learning algorithms including multi-variate regressions, classification algorithms, time series techniques, clustering, NLP, Image Processing, and optimization models etc.
• Ensure high coding standards as well as designing standards to ensure reproducibility. Drive innovation by enhancing existing solutions and designing new ones and build collaboration and awareness in the bank's analytics community
• Work closely with various business units/stakeholders to identify and streamline the AI-ML use-cases.
• Deliver end-to-end AI-ML models from development to deployment with delivery planning, communications with stakeholders, and ensuring efficient usage of the models by the business as recommendations for improving decision touchpoints.
• Ensure high coding standards, peer-review, and transparency in the work with the line of reporting.
• Support ad-hoc requirement in terms of MIS development, building and analyzing SAS Data Models, streamlining the reporting process through various reporting and analytical tools.
  

What We Are Looking For

• Overall 7+ years of experience in analytics, data science or similar function
• 3-4 years of experience in banking analytics
• Python and SQL experience required
• Worked on end-to-end ML model deployment
• Machine Learning / Deep Learning / Time-Series / Optimization and Customer Analytics
  
  
  

Technical Skills

• Strong coding skills using Python.
• Knowledge on Retail Banking Products
• Deployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps)
• Excellent knowledge of Banking Functional Knowledge (major plus)
• Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders.
• Expert-level proficiency in Python with SAS/R/Spark as plus
  

What's In It For You

• Pay for performance culture (Competitive and performance-linked compensation)
• Provision of medical care plan for your family and you.
• Comprehensive Life insurance plan.
• Diverse workforce and inclusive culture.
• Career development and growth opportunities by design.
• Work with the best minds in the field.
• Get opportunities to bring your whole-self to the organization and perform to your best.
  

Be part of RAKBANK's future! Step into a role where your leadership, and strategic insights will directly shape the future of the bank. If you're ready to elevate your career with us, apply now!
Responsibilities

• Prepare asset, liability, and capital account entries by compiling and analyzing account information
• Document financial transactions by entering account information
• Recommend financial actions by analyzing accounting options
• Summarize current financial status by collecting information; preparing balance sheet, profit and loss statement, and other reports
• Substantiate financial transactions by auditing documents
• Maintain accounting controls by preparing and recommending policies and procedures
• Guide accounting clerical staff by coordinating activities and answering questions
• Reconcile financial discrepancies by collecting and analyzing account information
• Secure financial information by completing database backups
• Verify, allocate, post, and reconcile transactions
• Produce error-free accounting reports and present their results
• Analyze financial information and summarize financial status
• Provide technical support and advice on management
• Review and recommend modifications to accounting systems and generally accepted accounting procedures
• Participate in financial standards setting and forecast process
• Provide input into department's goal-setting process