Unit Head – Data Science (AVP / VP) - TJ / 1913678

National Bank of Pakistan, one of the largest and most prominent financial institutions in the country, is seeking a highly skilled and experienced professional for the position of Unit Head – Data Science (AVP/VP) based in Karachi. The Bank is committed to supporting the nation’s financial well-being and driving sustainable growth through its extensive local and international branch network. This role is integral to advancing the Bank’s digital banking strategy by leading data science initiatives that align with business objectives and promote innovation in AI and analytics.

Key Responsibilities:
- Develop and implement comprehensive data science frameworks that support business goals.
- Oversee and manage the data science portfolio to ensure consistency, scalability, and alignment with organizational priorities.
- Collaborate closely with business, IT, and analytics teams to design and deploy actionable AI/ML models and solutions.
- Lead data governance efforts and monitor model performance to enable data-driven decision-making.
- Conduct workshops and participate in steering committees to maintain transparency and alignment across departments.
- Evaluate and implement advanced data science tools such as Python, R, SQL, Power BI, and Tableau to enhance analytics capabilities.
- Mentor and develop a high-performing data science team, fostering both technical expertise and strategic thinking.
- Define key performance indicators (KPIs), track metrics, and assess the business impact of data science initiatives.
- Spearhead the evaluation and enterprise-wide adoption of Generative AI and Agentic AI use cases, from proof-of-concept to rollout.
- Establish governance and risk frameworks specific to Generative AI, including data privacy, prompt security, and model access controls, in partnership with IT Security to mitigate risks like prompt injection and data exfiltration.
- Perform additional duties as assigned by supervisors.

Required Qualifications:
- Minimum graduation in Business Administration, Economics, Computer Science, Information Technology, Engineering, or an equivalent degree from an HEC-recognized institution.
- At least six years of relevant experience in Banking, Telecom, Fintech, Capital Markets, Financial Institutions, or Technology Services, including a minimum of three years in Data Science, Data Analytics, Machine Learning, or AI solution development.
- Proven leadership and decision-making skills with the ability to translate complex data challenges into actionable business insights.
- Strong technical proficiency in data science methodologies and tools such as Python, R, SQL, Power BI, and Tableau.
- Working knowledge of Generative AI, Agentic AI concepts, prompt engineering, retrieval-augmented generation (RAG), vector databases, and agent orchestration frameworks (e.g., LangChain).
- Familiarity with LLMOps practices, including model evaluation, hallucination monitoring, cost and latency management, and Responsible AI/AI governance principles in regulated environments.

Preferred Qualifications and Benefits:
- Master’s degree in Computer Science, Software Engineering, Computer Information Systems, Engineering, Information Technology, or relevant professional certifications in Data Science or Data Analytics.
- Experience with Data Science Frameworks, Data Governance, Machine Learning Operations, and performance monitoring.
- Hands-on experience with Generative AI and Large Language Model (LLM) solutions, including prompt engineering and foundation-model deployment.
- The position offers a contractual employment term of three years, with the possibility of renewal at management’s discretion. Compensation and benefits will be provided in accordance with the Bank’s policies.

This role is based in Karachi. Only candidates meeting the eligibility criteria will be invited for panel interviews. National Bank of Pakistan is an equal opportunity employer and encourages applications from all qualified individuals irrespective of gender, religion, or disability. Applications must be submitted within 10 working days from the date of the job posting. No travel allowance or daily allowance will be provided for interviews.