The role is part of Research and Innovation vertical and reports to vertical head
Job Description
We in ReBIT, the IT subsidiary of the Reserve Bank of India, are looking for Assistant Vice President – Data Science, who will lead a top-class data team, providing technical vision, analytical support and business intelligence, to analyse large amount of raw information to find patterns, build data products and models to extract valuable business insights.
The incumbent should possess excellent analytical skills and proficiency in mathematics and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
Experience in machine-learning and research to create artificial intelligence solutions, machine learning models and retraining systems with real world data.
The incumbent should be able to manage a team of 10 to 30 members.
Education
BE/BTech/ME/M.Tech in Computer Science, Engineering or relevant field; Master’s degree in Data Science or other quantitative field is preferred along with certifications in Machine Learning and Artificial Intelligence.
Experience
13-18 years of relevant industry experience and minimum of 5+ years of experience in Artificial Intelligence & Machine Learning (AI/ML)
Industry
Information Technology
Responsibility
Identify valuable data sources and architect/automate collection processes
Create and maintain optimal data pipeline architecture
Analyze large amounts of information to discover trends and patterns
Perform statistical and exploratory data analysis
Research and implement appropriate Ai/ML algorithms and review the (code) implementation of team members
Combine models through ensemble or stacking techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Deliver individual and team members artefacts independently
Should have following business expertise:
Project and team management
Data landscape understanding
Solution conceptualization
Understanding of business context
Transformation of data for business context
Business benefit estimation
Change management
Interaction with senior leaders and business stakeholders
Innovation and IP development ideas
Skills and Qualifications
Proven industry experience in Artificial Intelligence and Machine Learning algorithms
Knowledge on transforming available data sources that can be consumed by the Machine Learning algorithms is a mandatory skill
Knowledge to interpret the outcomes of the algorithms and ability to fine-tune them is essential
Deep knowledge in mathematics and statistics or operations research
Hands-on experience in Python and its AI/ML libraries
Should have practical hands-on experience in managing and delivering >3 projects in AI/ML/Analytics
Experience with NLP, Hadoop, Apache Spark will be useful
Image Processing Knowledge would be a plus
Automation of machine learning model development processes
Outstanding analytical and problem-solving aptitude
Excellent communication and presentation skills
Industry certifications and fulltime of minimum 1 year course from reputed institute
