AVP – DATA SCIENCE

Navi Mumbai, India

 

Reporting Structure

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