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Navi Mumbai, India

This position is closed as on 2021-01-30


Reporting Structure

The role is part of Research and Innovation vertical

Job Description

We are looking for a Data Scientist having capability to process large amount of data and implement Machine learning or Deep Learning algorithms and summarize the insights


A degree in Computer Science, Engineering or Mathematics or Statistics or relevant field; graduate degree in Data Science or other quantitative field is preferred


  • 2-4 years of relevant industry experience
  • Should have 1+ years on Machine Learning and Deep Learning (AI/ML) experience with languages like Python and libraries like scikit-learn, pytorch, pandas, numpy, etc
  • Should have working experience on AI/ML projects
  • These projects should have been productized on premise and/or cloud based environment


Information Technology/BSFI


  • With variety of data, should be capable of implementing Machine Learning algorithms that are linear and non-linear or on Natural Language Processing algorithms
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Undertake Data wrangling and cleaning
  • Analyze large amounts of information to discover trends and patterns
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain algorithms when necessary
  • Extend existing ML libraries and frameworks
  • Create and maintain optimal data pipeline architecture
  • Combine models through ensemble modeling
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Identify valuable data sources and automate collection processes
  • Analyze large amounts of information to discover trends and patterns
  • Should have business expertise:
  • Data landscape understanding
  • Solution conceptualization
  • Understanding of business context
  • Business benefit estimation
  • Change management
  • Interaction with senior leaders and business stakeholders

Skills and Qualifications


  1. Proven industry experience as a Data Science and Machine Learning Engineer
  2. Should have practical hands-on experience in working/delivering 2 to 3 projects in AI/ML/Analytics projects preferably in BFSI domain
  3. Experience on dimensionality reductionality concepts like PCA, Filters, Ensemble methods, Backward/Forward elimination, feature abstraction
  4. Understanding of data structures, data modeling, data mining and software architecture
  5. Deep knowledge in mathematics and statistics or operation research.
  6. Hands-on experience in Python and it ML libraries
  7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch/PyCharm/Kite) and libraries (like scikit-learn) will be an advantage
  8. Image Processing Knowledge would be a plus
  9. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
  10. Automation of machine learning model development processes
  11. Outstanding analytical and problem-solving aptitude
  12. Excellent communication and presentation skills
  13. Industry certifications and fulltime of minimum 1 year course from reputed institute