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Navi Mumbai, India

This position is closed as on 2020-02-08


Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

We are looking for a senior Data Scientist to analyse large amounts of raw information to find patterns, build data products and models to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math 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

Primarily responsible to shape and build efficient self-learning applications. He can manage a team of resources in Data Scientist and Data Visualization


Bachelors Computer science or equivalent

Relevant Masters preferred


  • Minimum of 12+ years of experience as Data Scientist with 5+ years in deploying solutions with Spark (or similar) on Hadoop Clusters as well as building advanced data pipelines as added advantages
  • Experience in Machine Learning Algorithms is a must
  • Maximum of 17 years of total IT experience


Information Technology


  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Research and implement appropriate ML algorithms and tools
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems 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


Skills and Qualifications


  1. Develop and implement advanced analytics approaches including statistical modelling and machine learning techniques such as XGBoost, Decision Tree, Clustering techniques, PCA, Collaborative Filtering, Neural Networks, Time-series etc.
  2. Successfully conceptualize, develop and deploy advanced analytics solutions in a high performing environment. Objective of the analytics group is to create bottom-line impact for a leading Indian Financial institution by leveraging cutting edge analytics solutions
  3. Proven industry experience as a hands-on Data Science and Machine Leaning Engineer
  4. Display strong storytelling and articulation skills to convert analytical output into clear, concise and persuasive insights and recommendations for technical and non-technical audience
  5. Create advanced reports and dashboards to facilitate faster decision making
  6. Understanding of data structures, data modeling, data mining and software architecture
  7. Deep knowledge in mathematics and statistics
  8. Hands-on experience in at least one Python or R
  9. Outstanding analytical and problem-solving skills
  10. Excellent communication and presentation skills
  11. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch) and libraries (like scikit-learn)
  12. He should have managed a pool of Data Scientist and Data Visualization resources
  13. Experience with relational SQL and NoSQL(like H-base and Cassandra) databases.
  14. Experience with big data tools: Hadoop, Spark, Kafka, etc would be a plus
  15. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
  16. Working experience with Protégé would be a plus
  17. Experience with AWS cloud services: EC2, EMR, RDS, Redshift would be a plus
  18. Image Processing Knowledge would be a plus
  19. Industry certifications