Lead Data Scientist

2 months ago

india Societe Generale Global Solution Centre Full time

About the Data & AI team


The Data and AI team in Societe Generale global Solution, enables process transformation and simplification of next-gen technology for SG Businesses Worldwide. Our range of products and services include transforming mindsets and culture through grass roots level global

transformation, stimulating new skills, identifying radical business challenges , developing new age technology solutions and re search, facilitating risk hedged startup and university connects designing experiences for customers and process users while promoting entrepreneurship in Societe Generale.

We’re looking for a data scientist who can think out of the box and expects more from their career.

Joining the data science team under GSC Data & AI, you’ll investigate complex business challenges in the bank & implement AI solutions to address those challenges working along side colleagues who believe in re writing the rules and not just follow them


Process: Mission

  • Research business domain and develop use cases to support enterprise wide AI solutions. Basic understanding of the banking industry is value add.
  • Perform high value data interpretation with quality, action oriented results to transform business.
  • Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
  • Watch external industry, research and analysis to give insight to markets on industry trends and sales targets
  • Broad NLP knowledge: tokenization, part of speech tagging, dependency parsing, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, Word embedding.
  • Broad Computer Vision knowledge: Construction, Feature detection, Segmentation, Classification, object detection, tracking, localization, classification, recognition, scene understanding, Exposure to Deep Learning, CNNs, LSTMs, network architecture, network tuning, transfer learning, multi task learning
  • Experience in selecting features, building and optimizing classifiers using machine learning techniques and must have statistical skills.
  • Adequate presentation and communication skills to explain results and methodologies to non technical stakeholders.


Key Job responsibilities:/Profile


  • Develop, process, cleanse and enhance data collection procedures from multiple data sources.
  • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
  • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
  • Work closely with product teams to implement algorithms with Python and/or R.
  • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
  • Facilitate integration with enterprise applications using APIs to enrich implementations.

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