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Tier-1 brand, generalist Data Scientist role, metro location, and broad skill requirements increase applicant competition.
Strong ML/AI technical skills are transferable, but finance domain knowledge preference raises sensitivity.
Requires advanced degree, extensive AI expertise, and specific technical proficiencies, creating strict shortlisting filters.
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Lead design and implementation of AI and mathematical models to address business needs in Big Data Analytics and Artificial Intelligence.
Manage and guide data science and data engineering aspects for multiple AI projects with complex business and technical challenges across various business units.
Set strategic direction for data identification, collection, and qualification, and develop best practices and guidelines for data science analytical lifecycle and tool evaluation.
Master’s Degree or PhD in quantitative fields such as Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, or Operations Research.
Extensive professional experience applying statistics, data mining, machine learning, and deep learning techniques; handling various data types (structured, unstructured, voice, image, video) and Big Data platforms integration.
Proficiency with statistical tools and programming environments including Python, Spark, and cloud platforms like AWS; programming experience in Python, Java, C, or C++.
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Bangalore (EGL); Shift timings: 11:00 pm - 8:00 pm.
Experienced in applying advanced AI techniques including deep learning, genetic algorithms, and working knowledge of deep learning tools such as TensorFlow, Theano, Torch, or Caffe.
Capable of independently working in ambiguous environments, collaborating with multiple stakeholders and teams, and communicating analytical results effectively to business stakeholders.
Preferably has exposure to cutting-edge organizations known for best-in-class advanced analytics, predictive modeling, and AI applications.