Skip to main content


Navi Mumbai, India

This position is closed as on 2020-03-06


Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

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

The incumbent should possess analytical skills and excellent proficiency in maths and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

Experience in Machine Learning(ML) domain and research skills to create artificial intelligence solutions, machine learning models and retraining systems with real world data

Primarily responsibilities include creating efficient e to self-learning applications and managing a team of Data Scientists and Data Visualizers


Bachelor’s degree in Computer science or equivalent

Relevant Master’s degree preferred


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


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-tune them 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


  • 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.
  • 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 financial institution in India by leveraging cutting edge analytics solutions
  • Proven industry experience as a hands-on Data Science and Machine Leaning Engineer
  • Excellent communication skills to convert analytical output into clear, concise and persuasive insights and recommendations for technical and non-technical audience
  • Create advanced reports and dashboards to facilitate faster decision making
  • Understanding of data structures, data modeling, data mining and software architecture
  • Proficiency in mathematics and statistics
  • Hands-on experience in at least one Python or R
  • Outstanding analytical and problem-solving skills
  • Excellent communication and presentation skills
  • Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch) and libraries (like scikit-learn)
  • He should have managed a team of data scientists and data visualisers
  • Experience with relational SQL and NoSQL(like H-base and Cassandra) databases.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc would be a plus
  • Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
  • Working experience with Protégé would be a plus
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift would be a plus
  • Image Processing Knowledge would be a plus
  • Industry certifications