Principal Data Scientist (10-11 yrs)

Principal Data Scientist

Job Purpose:

- The Principal Data Scientist is responsible for establishing and implementing, driving data-driven decision making and fostering a data-driven culture within the bank. He / She will be the head of Data Analytics

- This role plays a crucial part in harnessing the power of data to unlock new opportunities and enhance the bank's competitiveness in the evolving digital landscape.

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.

- Collaborate 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

Age: Not more than 45 years as on October 01, 2024