Bridgei2i : Analytics Consultant/ Senior Analytics Consultant (NLP/ML)

Location
Bangalore
Minimum Qualification:
Graduate
Competencies:
  • Ability to work on multiple projects simultaneously and adhere to mutually agreed upon schedules
  • Attention to detail and high level of accuracy in work product.
  • Ability 
Summary of Responsibilities
  • Closely liaise with clients to design and develop innovative solutions using AI & ML techniques to solve specific business problems
  • Solve unstructured problems by applying knowledge of data mining, natural language processing algorithms, image and video analytics and machine learning.
  • Ability to connect data of different types, working with unstructured and potentially incomplete data sources and cleaning data sets to discover new insights
  • Ensure high quality standards and timely delivery in all projects. Mitigate the risks associated with successful project planning and progress tracking
  • Proactive client/customer engagement and management
  • Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment
  • Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science
  • Contribute to solutions and capability development of the overall insurance practice at BRIDGEi2i to ensure organisational growth
Desired Skills
  • Experience in Applying Machine Learning techniques to Structured & Unstructured Data
  • Experience in Natural Language Processing
  • Ability to write high-performance code in Python & queries in SQL
  • Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow
  • Experience with Cognitive Services on Azure
  • Good understanding of mathematical foundations behind Machine Learning algorithms
  • Experience working with Big Data technologies such as Spark (preferred)
  • Understanding of Deep Learning Techniques (preferred)
  • Experience in Computer Vision (with tools such as OpenCV (preferred)

Educational qualification

  • Graduates/Post –graduates in Mathematics/Statistics/Data science/Economics or BTech in Computer Science, Electronics, Information & Communication Technology

Work Experience

  • 3-5 years of hands-on experience in Data Science domain in a professional environment
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