Data Scientist - NLP/Generative AI

Major Roles & Responsibilities : - Develop and implement a comprehensive data strategy aligned with the bank's overall objectives. - Collaborate with stakeholders to identify strategic opportunities for data utilization and cross-sell. - Oversee the design and implementation of data management systems and structures, ensuring efficiency and scalability. - Define and maintain data architecture principles, standards, and models. - Coordinate data integration initiatives, data sourcing, and data consolidation efforts. - Foster a data-driven culture by promoting data-driven decision-making across the organization. - Lead efforts to develop and implement advanced analytics capabilities, including predictive modelling and data visualization. - Collaborate with business units to identify and prioritize data-driven insights and initiatives to enhance customer experience, risk management and revenue generation. - Colloborate closely with relevant verticals of designated officers responsible for compliance with relevant data protection, privacy, and security regulations, including the Reserve Bank of India (RBI) guidelines. - Drive awareness and understanding of the value and importance of data across the organization. - Advocate for the effective use of data and analytics to improve business processes and decision making. - Establish data literacy programs and training to build data competency within the Bank. - Drive change management initiatives to ensure successful adoption of data-driven practices and technologies. Skills Required : - Proficiency of ML Algorithms like Linear Regression, Logistic Regression, Decision Tree etc. - Proficiency in Statistical Skills including knowledge of statistical tests, data distributions etc. - Good experience on working in Big Data Sets with tools like Apache Spark, SAS, BigML. - Good experience in Data Mining techniques and tools like Apache Mahout, H2O, Oracle Data Mining. - Good implementation knowledge of Data Modelling and Optimization techniques. - Good experience in Data frameworks like Hadoop, Database query languages like SQL, Hive and Data wrangling tools like Talend. - Knowledge of banking products and processes. - Strong understanding of data management practices, data architecture, data quality, and data governance frameworks. - Proficiency in data analytics tools, data visualization tools, and data integration technologies. - Familiarity with GoI and RBI guidelines and international standards on handling of data. - Excellent leadership and communication skills to collaborate with cross-functional teams and senior management Job Specification : - Qualification: Graduate or Post Graduate degree in Computer science, Data Management, Information Systems, Engineering, Mathematics, Statistics, Economics, Econometrics, or a related field. - Years of Experience: At least 10 years of experience in data management, including roles in data governance, data architecture, or data analytics preferably in Bank/s (India/ Abroad)/ Financial Institution/ BFSI / Fintech of which at least 3 years should be in a middle level position. - Desirable additional qualifications /experience in: - Machine Learning/Natural Language Processing/Generative AI/ Chatbots, etc. - Latest Analytical & Data Visualisation Tools like Apache Superset, Tableau, R, Power BI, Python, etc. - Relational Databases like Oracle, PostGreSQL and non-relational databases like MongoDB. - Open-source AI/ML tools like Llama, Langchain, Huggingface etc. - Experience working with RESTful API and general SOA Architecture - Functional knowledge in ML techniques and tools like tensorflow, keras, Apache MxNet would be useful. Place of Posting : Mumbai (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 5/24/2025