At NIC ASIA Bank, Data Scientist is the data science expert, who moderate the transformational journey of the Bank. The Data Scientist analyzes data to gain valuable, actionable and meaningful insights while performing statistical analysis to answer questions and solve problems. The role shall be a part of an interdisciplinary team to determine the Bank’s goals and manage the process of mining, cleaning and analyzing the data. The aspirant shall identify the data-analytics problems that offer the greatest business opportunities, and improve business operations and outcomes as well as presenting an easy-to-understand way to have data-driven decisions. The Data Scientist will collaborate closely with Business Analysts and Technical team to design and develop data warehouse, data pipelines and data models. Riding on the unmatched strategy and Instrumental structure and, backed by Incredible Empowerment and Robust Enablement with which NIC ASIA Bank differentiates itself from the competition, the Data Scientist aspirant is expected to act as the Carrier and Champion of the Bank’s Vision, Mission and overall 10x Drive thus truly illustrating that “Impossible is a myth अठोटको अगाडी हर लक्ष्य सम्भव छ”.
The aspirant is required to have deep domain knowledge of Banking and be familiar with Data Science Project Lifecycle and the corresponding libraries in Python (such as pandas, matplotlib, and scikit-learn for Python), with and experience as a Data Scientist, Quantitative Analyst, or with Statistics, and in data mining, database design, ETL/ELT processes. The aspirant should have strong understanding of Modern Data Warehouse concepts and experience in designing and building modern Data Warehouse, data marts and data models as well as programming proficiency in Structured Query Language (SQL), and Python with exposure to Graph Analytics. The aspirant should be proficient and experienced in Python programming languages and machine learning /deep learning algorithms/packages with experience in building predictive and forecasting models. Knowledge of big data eco system i.e. Hadoop, Hive, Pig, Spark and Visualization tool like PowerBI, Tableau is preferable whereas knowledge of Core Banking System (CBS) and its data structure is highly desirable. Any experience as a Data Scientist in a Banking or Financial Services environment is preferable.
The aspirant should have minimum of 5 years’ experience in related field with Master’s Degree or 10 years’ experience in related field with Bachelor’s Degree in Computer Science, Statistics or related field and age should not exceed 50 years as of 20 November, 2022 for Assistant Manager. The aspirant should have preferably Master’s Degree but not less than Bachelor’s Degree in Computer Science, Statistics or related field, with minimum of 2 years’ experience in related field and age should not exceed 40 years as of 20 November, 2022 for Officer level and age should not exceed 35 years as of 20 November, 2022 for Senior Assistant/Supervisor.